#Building APIs with Python

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Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

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System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

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How to Build Software Projects for Beginners

Building software projects is one of the best ways to learn programming and gain practical experience. Whether you want to enhance your resume or simply enjoy coding, starting your own project can be incredibly rewarding. Here’s a step-by-step guide to help you get started.

1. Choose Your Project Idea

Select a project that interests you and is appropriate for your skill level. Here are some ideas:

To-do list application

Personal blog or portfolio website

Weather app using a public API

Simple game (like Tic-Tac-Toe)

2. Define the Scope

Outline what features you want in your project. Start small and focus on the minimum viable product (MVP) — the simplest version of your idea that is still functional. You can always add more features later!

3. Choose the Right Tools and Technologies

Based on your project, choose the appropriate programming languages, frameworks, and tools:

Web Development: HTML, CSS, JavaScript, React, or Django

Mobile Development: Flutter, React Native, or native languages (Java/Kotlin for Android, Swift for iOS)

Game Development: Unity (C#), Godot (GDScript), or Pygame (Python)

4. Set Up Your Development Environment

Install the necessary software and tools:

Code editor (e.g., Visual Studio Code, Atom, or Sublime Text)

Version control (e.g., Git and GitHub for collaboration and backup)

Frameworks and libraries (install via package managers like npm, pip, or gems)

5. Break Down the Project into Tasks

Divide your project into smaller, manageable tasks. Create a to-do list or use project management tools like Trello or Asana to keep track of your progress.

6. Start Coding!

Begin with the core functionality of your project. Don’t worry about perfection at this stage. Focus on getting your code to work, and remember to:

Write clean, readable code

Test your code frequently

Commit your changes regularly using Git

7. Test and Debug

Once you have a working version, thoroughly test it. Look for bugs and fix any issues you encounter. Testing ensures your software functions correctly and provides a better user experience.

8. Seek Feedback

Share your project with friends, family, or online communities. Feedback can provide valuable insights and suggestions for improvement. Consider platforms like GitHub to showcase your work and get input from other developers.

9. Iterate and Improve

Based on feedback, make improvements and add new features. Software development is an iterative process, so don’t hesitate to refine your project continuously.

10. Document Your Work

Write documentation for your project. Include instructions on how to set it up, use it, and contribute. Good documentation helps others understand your project and can attract potential collaborators.

Conclusion

Building software projects is a fantastic way to learn and grow as a developer. Follow these steps, stay persistent, and enjoy the process. Remember, every project is a learning experience that will enhance your skills and confidence!

[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

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Alltick API: Where Market Data Becomes a Sixth Sense

When trading algorithms dream, they dream in Alltick’s data streams.

The Invisible Edge

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The API That Thinks in Light-Years

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Secret Weapons of the Algorithmic Elite

Fed Whisperer Module: Decode central bank speech patterns 14ms before news wires explode

Meme Market Cortex: Track Reddit/Github/TikTok sentiment shifts through self-training NLP interfaces

Quantum Dust Explorer: Mine microsecond-level anomalies in options chains for statistical arbitrage gold

Build the Unthinkable

Your dev playground includes:

🧪 CRISPR Data Editor: Splice real-time ticks with alternative data genomes

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The Silent Revolution

Last month, three Alltick-powered systems achieved the impossible:

A crypto bot front-ran Elon’s tweet storm by analyzing Starlink latency fluctuations

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Warning: May cause side effects including disgust toward legacy APIs, uncontrollable urge to optimize everything, and permanent loss of "downtime"概念.

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Introduction to SkillonIT Learning Hub- Empowering Rural Talent With World-Class IT Skills

SkillonIT provides IN-Demand IT courses, connecting Rural talent with rewarding IT skills through affordable, accessible and career-focused education. with Guaranteed pathways to internship and high paying jobs, start with us and step into Opportunities at top Tech-leading Companies. Skillonit Learning Hub, located in Buldhana, Maharashtra, is a leading institute dedicated to equipping individuals with cutting-edge technology skills. With a mission to bridge the digital divide, the institute provides high-quality education in various IT and professional development domains. Skillonit focuses on practical, industry-oriented training, ensuring students gain the expertise needed to thrive in today’s competitive job market. The hub is committed to empowering rural talent and shaping the next generation of skilled professionals.

Courses Offered Skillonit Learning Hub offers a diverse range of courses tailored to industry demands, enabling students to master both technical and professional skills.

Blockchain Development — Smart Contracts (Solidity, Rust, Web3.js, Hardhat) — Blockchain Protocols (Ethereum, Solana, Binance Smart Chain, Fantom) — Decentralized Applications (DApps) Development

Front-End Development — HTML, CSS, JavaScript — Frameworks: React.js, Vue.js, Angular — Responsive Web Design & UI Frameworks (Bootstrap, Tailwind CSS)

Back-End Development — Server-side Programming (Node.js, Python, PHP, Java, .NET) — Database Management (MySQL, MongoDB, Firebase, PostgreSQL) — API Development (RESTful APIs, GraphQL, WebSockets)

Full-Stack Development — Front-End + Back-End Integration — MERN Stack Development — Database, Deployment & DevOps Practice

Mobile App Development — Cross-Platform Development (Flutter, React Native)

Unity 3D Game Development — Game Mechanics & Physics — C# Programming for Game Development — Virtual Reality (VR) & Augmented Reality (AR) Integration

Professional UI/UX Design — User Interface Design (Adobe XD, Figma, Sketch) — User Experience Principles — Prototyping, Wireframing & Usability Testing

Professional Graphic Design — Adobe Photoshop, Illustrator, and CorelDraw — Branding & Logo Design — Digital Art & Visual Communication

Digital Marketing — SEO, SEM, and Social Media Marketing — Content Marketing & Copywriting — Google Ads, Facebook Ads & Analytics

Spoken English — Communication Skills & Public Speaking — Accent Training & Fluency Improvement

Personality Development — Business & Corporate Etiquette — Confidence Building & Interview Preparation — Leadership & Teamwork Skills

Location & Contact : Address : Chhatrapati Tower, Above Maratha Mahila Urban, 3rd Floor, Chikhali Road, Buldhana, Maharashtra, 443001.

Contact us

Conclusion : Skillonit Learning Hub is revolutionizing IT and professional education by making technology and essential career skills accessible to aspiring developers, designers, marketers, and professionals. With a strong emphasis on practical learning, industry exposure, and career opportunities, it stands as a beacon of growth for young talent in Buldhana and beyond. Whether you are looking to build a career in tech, marketing, design, or personal development, Skillonit provides the ideal platform to achieve your goals. Join Our Social Community

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Best Platforms to Trade for Forex in 2025

Forex trading continues to captivate traders worldwide, offering a dynamic and lucrative avenue for financial growth. In 2025, identifying the best platforms to trade for forex has become more crucial than ever, as technology and market demands evolve. From user-friendly interfaces to advanced tools for technical analysis, these platforms are tailored to meet the needs of both novice and seasoned traders. Whether you're diving into major currency pairs, exploring exotic options, or utilizing automated trading strategies, choosing the right platform is the foundation for success.

Core Features of Top Forex Trading Platforms

Forex trading platforms in 2025 must combine advanced functionality with accessibility to meet diverse trader needs. The following core features highlight what distinguishes the best platforms.

User-Friendly Interface

A user-friendly interface enhances efficiency and reduces errors, especially for beginners. Key features include:

Intuitive navigation for rapid trade execution.

Customizable layouts to match user preferences.

Comprehensive tutorials for ease of onboarding.

Efficient design with minimal lag, even during high volatility.

Example Platforms: MetaTrader 4 (MT4) and MetaTrader 5 (MT5) are renowned for streamlined interfaces designed to accommodate traders at all levels.

Comprehensive Charting Tools

Forex trading requires precision, and advanced charting tools are critical for analysis. The following charting tools enhance strategy formulation:

Drawing Tools: Support for trendlines and channels.

Indicators: Integration of MACD, RSI, Bollinger Bands, and Fibonacci Retracement.

Timeframes: Options to analyze data across multiple periods.

Custom Indicators: Flexibility to program and integrate personal strategies.

Automation and Algorithmic Trading

Automation is indispensable for modern forex trading. Platforms like cTrader and NinjaTrader excel with features like:

Pre-built Strategies: Ready-to-use templates for scalping and trend following.

Custom Algorithms: Integration with programming languages such as C# and Python.

Backtesting: Evaluate strategies with historical data.

Integration with APIs: Seamless syncing with advanced trading bots.

Mobile Accessibility

Forex traders increasingly require the flexibility of trading on-the-go. Mobile accessibility ensures:

Synchronization: Real-time updates between desktop and mobile devices.

Push Notifications: Alerts for market changes and trade execution.

Compact Design: Optimized for smaller screens without losing functionality.

App Examples: MT4 and MT5 apps, offering full trading capabilities on iOS and Android.

Key Takeaway: Platforms combining a robust desktop experience with seamless mobile integration empower traders with unmatched convenience.

The best forex trading platforms for 2025 excel in usability, advanced charting, automation, and mobile functionality. By integrating these features, platforms like MT5, cTrader, and TradingView offer versatile solutions for traders of all expertise levels.

Trading Instruments Supported by Leading Platforms

The diversity of trading instruments available on forex platforms is crucial for building effective strategies and achieving long-term trading success. This section explores the breadth and advantages of various trading instruments.

1. Major Currency Pairs

Major currency pairs, such as EUR/USD, USD/JPY, and GBP/USD, dominate forex markets due to their high liquidity and tighter spreads. Leading platforms like MetaTrader 5 and TradingView offer advanced tools for analyzing these pairs, enabling traders to capitalize on predictable movements.

Key Features:

High liquidity ensures minimal price fluctuations during trades.

Access to real-time market data for precise decision-making.

Supported by most trading strategies, including scalping and swing trading.

These pairs are ideal for traders seeking consistent opportunities in stable market conditions.

2. Exotic Pairs

Exotic pairs combine major currencies with currencies from emerging markets, such as USD/TRY or EUR/SEK. While they offer higher potential rewards, they also come with increased volatility and wider spreads.

Risks and Rewards:

Volatility: Significant price movements create potential for larger profits.

Higher Spreads: Costs can be prohibitive for short-term trading strategies.

Economic Dependence: Price movements often correlate with specific geopolitical or economic conditions.

Platforms like cTrader often feature analytical tools tailored for exotic pair trading, helping traders manage the associated risks.

3. CFDs and Futures

Contracts for Difference (CFDs) and futures are derivatives enabling traders to speculate on forex price movements without owning the underlying assets. Futures contracts are often traded on platforms like NinjaTrader, while CFDs are supported on MetaTrader platforms.

CFDs vs. Futures in Forex Trading

Wider spreads but no commissionCommissions and exchange fees

CFDs and futures cater to traders seeking flexibility and hedging opportunities in volatile markets.

4. Spot Forex vs. Forward Contracts

Spot forex trades settle instantly at prevailing market rates, making them ideal for day traders. Forward contracts, however, lock in future exchange rates and are often used by businesses to hedge against currency fluctuations.

Spot Forex:

Instant execution for quick trades.

Supported by platforms like TradingView, which offers robust charting tools.

Forward Contracts:

Customizable settlement dates.

Reduced risk of unfavorable exchange rate changes.

Forward contracts are frequently utilized for long-term strategies requiring stability.

5. Options Trading in Forex

Forex options provide traders the right, but not the obligation, to buy or sell currencies at a predetermined price. Options trading is supported on platforms like MetaTrader 5, offering flexibility for speculative and hedging strategies.

Advantages:

Defined risk due to limited loss potential.

Compatibility with advanced trading strategies like straddles and strangles.

Access to multiple expiration dates for tailored strategies.

Options trading is an excellent choice for traders seeking diversification and controlled risk in uncertain markets.

Market Indicators for Effective Forex Trading Forex trading in 2025 requires mastery of market indicators for successful trades. Platforms integrating technical tools like RSI, Bollinger Bands, and Fibonacci retracements provide invaluable support for analyzing currency pairs and spotting trends.

1: Moving Averages and RSI

Moving averages and RSI (Relative Strength Index) are staples in forex trading for spotting trends and identifying overbought or oversold market conditions. Here's how they work:

Moving Averages:

Smooth out price data for better trend analysis.

Common types: Simple Moving Average (SMA) and Exponential Moving Average (EMA).

Platforms like MetaTrader 5 (MT5) allow customizable moving average periods for traders’ needs.

RSI:

Measures the speed and change of price movements.

Values above 70 indicate overbought conditions, while below 30 signals oversold.

Both indicators are excellent for detecting market reversals and consolidations, making them essential for scalping and swing trading strategies.

2: Bollinger Bands and Fibonacci Retracements

Bollinger Bands and Fibonacci retracements are complementary tools for determining price ranges and potential reversals.

Bollinger Bands:

Comprised of a central moving average and two bands (standard deviations).

Highlights volatility and identifies breakout opportunities in exotic pairs and minor pairs.

Fibonacci Retracements:

Based on key levels derived from the Fibonacci sequence (23.6%, 38.2%, 61.8%, etc.).

Used to forecast retracement zones for entry and exit points.

Platforms like TradingView provide advanced integration of these tools for technical analysis.

3: Pivot Points and Volume Analysis

Pivot points and volume analysis serve as complementary methods for intraday traders.

Pivot Points:

Calculate potential support and resistance levels based on previous trading sessions.

Widely used in day trading to set intraday targets.

Volume Analysis:

Measures market activity to validate price movements.

Higher volume during breakouts confirms trends.

Together, these indicators help traders plan risk-reward ratios effectively and refine strategies. Platforms offering integrated market indicators like RSI, Fibonacci retracements, and volume analysis provide forex traders with precise insights for decision-making. Combining these tools with strategic risk management and discipline ensures a competitive edge in forex trading for 2025.

Risk Management Tools in Forex Platforms

Risk management is the cornerstone of sustainable forex trading. Platforms offering advanced tools like Stop-Loss Orders and Position Sizing empower traders to mitigate risks while optimizing potential gains.

1. Stop-Loss Orders

Stop-loss orders safeguard capital by automatically closing trades at pre-set levels. Key benefits include:

Capital Protection: Prevents losses from spiraling during volatile markets.

Emotional Discipline: Reduces impulsive decisions by automating exit points.

Wide Platform Integration: Available on MetaTrader 4, TradingView, and cTrader for seamless trading execution.

2. Take-Profit Orders

Take-profit orders lock in profits when the market reaches a target price. Steps for setting take-profit orders effectively:

Analyze Moving Averages and RSI to determine target levels.

Input the price level in trading platforms like NinjaTrader or MT5.

Monitor trade performance and adjust as needed.

3. Position Sizing Calculators

Accurate position sizing minimizes overexposure to any single trade. Here’s how these calculators work:

Calculate lot sizes based on account balance, risk percentage, and stop-loss distance.

Adjust trade sizes to align with Risk-Reward Ratios.

Enable traders to maintain diversified exposure.

4. Risk-Reward Ratio Analysis

Risk-reward ratios evaluate trade viability by comparing potential profits to losses. Tips for effective use:

Aim for a minimum ratio of 1:2 or higher.

Utilize tools like Bollinger Bands to estimate price movements.

Integrated calculators on platforms like MT4 simplify these computations.

5. Diversification Tools

Diversification spreads risk across multiple trading instruments. Features on platforms include:

Multi-asset trading options: CFDs, Futures, and Currency Pairs.

Portfolio analysis tools to track exposure by instrument type.

Real-time updates for Exotic Pairs and niche markets.

6. Backtesting Strategies

Backtesting allows traders to evaluate strategies using historical data. Its advantages are:

Testing risk management techniques like Stop-Loss Orders without live market risk.

Platforms such as TradingView support customizable backtesting scripts.

Insights into strategy weaknesses improve long-term profitability.

With advanced tools for Stop-Loss Orders, Position Sizing, and Backtesting, modern forex trading platforms empower traders to proactively manage risks. Leveraging these features leads to more disciplined and effective trading.

Psychological and Strategic Insights for Forex Trading

Mastering trading psychology is key to navigating the complexities of forex. Platforms enhance this through features that promote discipline, performance tracking, and trader confidence, empowering strategic growth and mitigating psychological pitfalls.

Building Discipline Through Alerts

Platforms offering robust alert systems, like MetaTrader 5, help instill discipline by:

Preventing Overtrading: Custom alerts signal market entry points, limiting impulsive trades.

Time Management: Reminders help traders stick to predefined schedules.

Market Trend Notifications: Alerts for moving averages or Relative Strength Index (RSI) changes enable focused decisions.

Tracking Performance Metrics

Trading platforms integrate tools that help traders evaluate performance, including:

Win/Loss Ratio Analysis: Shows trade success rates.

Equity Curve Monitoring: Visualizes account performance trends.

Journal Features: Logs trade entries and exits for review.

Customizable Dashboards

Platforms like TradingView allow traders to configure dashboards by:

Adding favorite currency pairs and indicators like MACD or Bollinger Bands.

Creating multi-screen setups to monitor multiple trades.

Integrating news feeds to stay updated with central bank announcements.

Educational Resources

The inclusion of in-platform education fosters confidence through:

Interactive Tutorials: Step-by-step videos on strategies like swing trading or technical analysis.

Webinars and Live Sessions: Experts discuss trading instruments like CFDs and options.

AI-based Learning Modules: Adaptive lessons based on trader performance.

By integrating tools for discipline, self-awareness, and strategy refinement, trading platforms empower users to overcome psychological challenges, enhance risk management, and make data-driven decisions for long-term success.

Conclusion

Forex trading in 2025 offers exciting opportunities, but success begins with choosing the right platform. As highlighted throughout this content pillar, top trading platforms like MetaTrader 4 (MT4), MetaTrader 5 (MT5), cTrader, and TradingView stand out for their robust features, diverse trading instruments, and advanced integrations. These platforms empower traders to navigate the complexities of the forex market through tools such as technical indicators like Moving Averages and RSI, risk management solutions like stop-loss orders and position sizing calculators, and integrations with vital economic indicators such as GDP, inflation, and central bank announcements.

The best forex trading platforms not only provide access to currency pairs, CFDs, and other instruments but also integrate cutting-edge charting tools, educational resources, and analytics to build confidence and discipline—critical factors in mastering the psychological demands of trading.

By understanding the interplay between platform features, market tools, and strategy development, traders can optimize their approach to trading forex in 2025. Whether you're focused on scalping, day trading, or long-term swing trading, the right platform will be your foundation for executing trades effectively, managing risk, and staying informed in a fast-paced market.

Take the insights from this guide to make an informed decision, choosing a platform that aligns with your trading goals and enhances your ability to trade forex with precision and confidence. With the right tools and strategies in hand, you're poised to navigate the evolving forex market and unlock its full potential in 2025 and beyond.

[sleepymarmot]

Backed up my blog using the Python script. The process froze twice and I had to quit and continue. On the third try, it completed.

After ~3 thousand lines of error messages, the log says it backed up 140,381 posts. That's a bigger number than either of the post counts displayed by Tumblr itself this week. There are 140,309 files in the "posts" folder. Some of them seem to be broken, and without the broken ones it's 140,297 — two posts less than the current official count.

The backup process took approximately 13 hours and resulted in a folder size of 357 GB. 355 GB out of that is the media folder.

Even though I used the "--tag-index" argument, the script did not create a tag index, leaving me with an unsortable chronological list of posts.

I tried backing up dwparallels to see what happens. The process froze at some point but mysteriously restarted. By the official count, the blog has 1075 posts. The backup saved 1072 posts, according to both the log and the file number. It also built the tag index successfully.

My only guess was that in my request for the main blog, there was an extra space after the "--tag-index" argument. Because there was an extra space there in the tutorial, and I copy-pasted it directly. Could that be the culprit? Or was it because I quit the script by force? Was I supposed to use all of the arguments again when continuing an aborted job? If so, then a lot of audio and video had to be missing as well.

I started the backup of the main blog again, now with the "--no-post-clobber" argument so that it wouldn't redownload existing posts. It failed once, because I reached the daily API request limit and couldn't continue afterwards. On the second try, it successfully went through all of my posts and then seemingly froze on the "Building index" stage. When the script reads/downloads posts, it displays progress in numbers, but when it builds the index, there is no progress indicator at all so there's no way to tell if it's running or came across an error and stopped. After approximately 35 minutes, according to the timestamps, the script updated the index and created a folder for the tags, but the log stayed still. A few hours later, I right-clicked on the command line, and the log suddenly updated and displayed the completion message. On this second run through, the script downloaded 2 more posts, so I now have 140,299 html files, exactly like the official count. There are also 30 other html files in the posts folder that seem to be broken. The json folder has 140,299 files exactly. The html files are timestamped with what seems to be the corresponding post's creation date, but the json files are timestamped with the time and day of the backup.

So now I have all posts, a monthly index, and a tag index. Unfortunately, the html post pages display photosets by wrapping every image in its own paragraph, and don't seem to record the photoset layout anywhere. I hope that data is preserved in the json somewhere, so that it theoretically would be possible to reconstruct these posts properly if the need arises. That's far beyond my own technical capabilities, though.

Now, if only any representative of Tumblr deigned to explain to me what they have done with all my posts that have disappeared into the ether without a trace...

[itcareerblogs]

Top 10 In- Demand Tech Jobs in 2025

Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.

In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.

1. AI and Machine Learning Specialists

Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.

Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).

Industries Hiring: Healthcare, finance, retail, and manufacturing.

Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.

2. Data Scientists

Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.

Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.

Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.

Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.

3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.

Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).

Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.

Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).

4. Cybersecurity Experts

Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.

Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.

Industries Hiring: Banking, IT, and government agencies.

Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.

5. Full-Stack Developers

Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.

Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.

Industries Hiring: Tech startups, e-commerce, and digital media.

Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.

6. DevOps Engineers

DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.

Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.

Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.

Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.

7. Blockchain Developers

They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.

Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.

Industries Hiring: Fintech, logistics, and healthcare.

Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.

8. Robotics Engineers

Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.

Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.

Industries Hiring: Automotive, healthcare, and logistics.

Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.

9. Internet of Things (IoT) Specialists

IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.

Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.

Industries Hiring: Consumer electronics, automotive, and smart city projects.

Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.

10. Product Managers

Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.

Key Skills: Agile methodologies, market research, UX design, and project management.

Industries Hiring: Software development, e-commerce, and SaaS companies.

Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.

Importance of Upskilling in the Tech Industry

Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.

Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.

Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.

Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.

Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.

Top Companies Hiring for These Roles

Global Tech Giants: Google, Microsoft, Amazon, and IBM.

Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.

Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.

In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.

[ogma-conceptions]

Why Should You Do Web Scraping for python

Web scraping is a valuable skill for Python developers, offering numerous benefits and applications. Here’s why you should consider learning and using web scraping with Python:

1. Automate Data Collection

Web scraping allows you to automate the tedious task of manually collecting data from websites. This can save significant time and effort when dealing with large amounts of data.

2. Gain Access to Real-World Data

Most real-world data exists on websites, often in formats that are not readily available for analysis (e.g., displayed in tables or charts). Web scraping helps extract this data for use in projects like:

Data analysis

Machine learning models

Business intelligence

3. Competitive Edge in Business

Businesses often need to gather insights about:

Competitor pricing

Market trends

Customer reviews Web scraping can help automate these tasks, providing timely and actionable insights.

4. Versatility and Scalability

Python’s ecosystem offers a range of tools and libraries that make web scraping highly adaptable:

BeautifulSoup: For simple HTML parsing.

Scrapy: For building scalable scraping solutions.

Selenium: For handling dynamic, JavaScript-rendered content. This versatility allows you to scrape a wide variety of websites, from static pages to complex web applications.

5. Academic and Research Applications

Researchers can use web scraping to gather datasets from online sources, such as:

Social media platforms

News websites

Scientific publications

This facilitates research in areas like sentiment analysis, trend tracking, and bibliometric studies.

6. Enhance Your Python Skills

Learning web scraping deepens your understanding of Python and related concepts:

HTML and web structures

Data cleaning and processing

API integration

Error handling and debugging

These skills are transferable to other domains, such as data engineering and backend development.

7. Open Opportunities in Data Science

Many data science and machine learning projects require datasets that are not readily available in public repositories. Web scraping empowers you to create custom datasets tailored to specific problems.

8. Real-World Problem Solving

Web scraping enables you to solve real-world problems, such as:

Aggregating product prices for an e-commerce platform.

Monitoring stock market data in real-time.

Collecting job postings to analyze industry demand.

9. Low Barrier to Entry

Python's libraries make web scraping relatively easy to learn. Even beginners can quickly build effective scrapers, making it an excellent entry point into programming or data science.

10. Cost-Effective Data Gathering

Instead of purchasing expensive data services, web scraping allows you to gather the exact data you need at little to no cost, apart from the time and computational resources.

11. Creative Use Cases

Web scraping supports creative projects like:

Building a news aggregator.

Monitoring trends on social media.

Creating a chatbot with up-to-date information.

Caution

While web scraping offers many benefits, it’s essential to use it ethically and responsibly:

Respect websites' terms of service and robots.txt.

Avoid overloading servers with excessive requests.

Ensure compliance with data privacy laws like GDPR or CCPA.

If you'd like guidance on getting started or exploring specific use cases, let me know!

[cherrari]

sorry if this is too personal and pls ignore if you want to, i remember you said you work as a writer before. do you mind explaining what kind of writing you do and how you got into it?

i work as a technical writer. more specifically i work as a technical writer for a software company. right now i'm writing client-facing stuff but previously (at my last company) i worked on aws and rest api documentation for engineers

as for how i got into it, my degree is in something completely unrelated. but i went to a prestigious (relative to where i live) school with an extremely good internship program, and because the program wasn't restricted to only jobs related to your degree, i was able to get jobs in technical writing despite the zero correlation. i was really lucky to have my first few internships be with massive companies which helped build my resume for after i graduated

this is of course not the most representative experience. from what i can tell most technical writers are either a) people who majored in something like english and then took online certifications in coding, or b) people who majored in computer science, engineering, etc. who happen to be good writers

having an above average understanding of any coding language but especially javascript (typescript), go, python, and java helps a lot in landing jobs in tech. at my old job my coworker (who had the same responsibilities as me) really struggled with the workload that i found very easy, mainly because he didn't know any coding languages and so it took him a lot longer to parse the information we were given

[utopicwork]

Ill be ready soon to start testing the webrtc signaling protocol I've built. In addition all of the code for the site builder backend is now bundled properly so that Pyodide can load the python/html/css/js necessary using one zip, next steps will be testing the backend in the browser and building a gui, though I don't want to undersell that the gui is going to be a significant task because I am going to do it with built in browser apis like drag and drop so that the codebase for the browser continues to be very slim (outside of the large wasm files needed for Pyodide)

[ai-resume-builder]

Crafting the Perfect SDET Resume

Looking to break into or excel in the world of Software Development Engineer in Test (SDET) roles? Your resume is your first impression, and we’re here to help you make it a winning one! 🎯

Our detailed SDET Resume Example is tailored for professionals in software quality assurance and testing. Whether you’re highlighting your expertise in automation, manual testing, or your proficiency in tools like Selenium and Python, this resume example is designed to showcase your skills effectively.

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• ATS-Friendly Design: Ensure your resume gets noticed by hiring managers.

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Explore this and many more resume examples to inspire your next career move. It’s time to take your professional presentation to the next level! 🚀

👉 Check out the full SDET Resume Example today.

Related Resources:

Looking for more insights on building resumes? Dive into our resume examples collection or explore our AI Resume Maker for personalized guidance.

[seereeservices]

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Courses we provided:- 1) Java Fullstack 2) Python Fullstack 3) PHP Fullstack 4) Preplacement Training & Sp. Eng 5) .NET Fulstack 6) SEO/Digital Marketing 7) SAP 8) MERN 9) Software Testing 10)Data Analyst 11)Data Science 12)Data Engineering 13)PGDCA 14)Tally 15)Graphics Design

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A Class in Java is where we teach objects how to behave. Education at seeree means way to success. The way of teaching by corporate trainers will bloom your career. We have the best java training classes in Bhubaneswar. 100% Placement Support. Job Support Post Training. This course will give you a firm foundation in Java, commonly used programming language. Java technology is wide used currently. Java is a programming language and it is a platform. Hardware or software environment in which a program runs, known as a platform. Since Java has its own Runtime Environment (JRE) and API, it is called platform. Java programming language is designed to meet the challenges of application development in the context of heterogeneous, network-wide distributed environment. Java is an object-oriented programming (OOP) language that uses many common elements from other OOP languages, such as C++. Java is a complete platform for software development. Java is suitable for enterprise large scale applications.]

Course2:- Python Fullstack

Seeree offers best python course in Bhubaneswar with 100% job assurance and low fee. Learn from real time corporate trainers and experienced faculties. Groom your personality with our faculty. Seeree helps to build confidence in students to give exposure to their skills to the company.

Python is dynamically typed , compiled and interpreted , procedural and object oriented , generalized , general-purpose , platform independent programming language. Python is a high-level, structured, open-source programming language that can be used for a wide variety of programming tasks.

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seeree is the best training institute which provide PHP Training courses in bhubaneswar and all over odisha We aim the students to learn and grow altogether with the need of IT firms.

PHP is a server scripting language, and a powerful tool for making dynamic and interactive Web pages. PHP is a widely-used, free, and efficient alternative to competitors such as Microsoft's ASP.

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SAP refers to Systems, Applications, and Products in Data Processing. Some of the most common subjects covered in these courses include human resource software administration, database management, and business training. Obtaining SAP certification can be done on a stand-alone basis or as part of a degree program.

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Are you ready to step into the exciting world of web development? At SEEREE, we bring you a comprehensive MERN Stack course that equips you with the skills to build modern, dynamic, and responsive web applications from start to finish.

The MERN Stack—comprising MongoDB, Express.js, React.js, and Node.js—is one of the most sought-after technologies in the web development industry. Our program is designed to help you master each component of the stack, from creating robust backends and managing databases to crafting dynamic frontends and seamless APIs.

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Seeree offers best Testing course in Bhubaneswar with 100% job assurance and low fee. Learn from real time corporate trainers and experienced faculties. Groom your personality with our faculty. Seeree helps to build confidence in students to give exposure to their skills to the company.

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Course12:- Data Engineering

In the era of big data, the ability to design, build, and manage scalable data infrastructure is one of the most in-demand skills in the tech industry. At SEEREE, we are proud to offer a comprehensive Data Engineering course that prepares you for a career at the forefront of data-driven innovation.

Our program covers essential topics such as data modeling, ETL processes, data warehousing, cloud platforms, and tools like Apache Spark, Kafka, and Hadoop. You’ll learn how to collect, organize, and transform raw data into actionable insights, enabling businesses to make smarter decisions.

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Join SEEREE Institute and take the first step toward building the data pipelines that power tomorrow’s technology!"

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Seeree offers the best MERN course in Bhubaneswar with 100% job assurance and low fees. Learn from real-time corporate trainers and experienced faculty. Seeree helps students build confidence and gain skills to excel in company roles.

In today’s digital age, computer applications are at the heart of every industry, driving innovation and efficiency. At SEEREE Institute, our Post Graduate Diploma in Computer Applications (PGDCA) program is designed to provide you with in-depth knowledge and hands-on skills to excel in the IT world.

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[govindhtech]

Open Platform For Enterprise AI Avatar Chatbot Creation

How may an AI avatar chatbot be created using the Open Platform For Enterprise AI framework?

I. Flow Diagram

The graph displays the application’s overall flow. The Open Platform For Enterprise AI GenAIExamples repository’s “Avatar Chatbot” serves as the code sample. The “AvatarChatbot” megaservice, the application’s central component, is highlighted in the flowchart diagram. Four distinct microservices Automatic Speech Recognition (ASR), Large Language Model (LLM), Text-to-Speech (TTS), and Animation are coordinated by the megaservice and linked into a Directed Acyclic Graph (DAG).

Every microservice manages a specific avatar chatbot function. For instance:

Software for voice recognition that translates spoken words into text is called Automatic Speech Recognition (ASR).

By comprehending the user’s query, the Large Language Model (LLM) analyzes the transcribed text from ASR and produces the relevant text response.

The text response produced by the LLM is converted into audible speech by a text-to-speech (TTS) service.

The animation service makes sure that the lip movements of the avatar figure correspond with the synchronized speech by combining the audio response from TTS with the user-defined AI avatar picture or video. After then, a video of the avatar conversing with the user is produced.

An audio question and a visual input of an image or video are among the user inputs. A face-animated avatar video is the result. By hearing the audible response and observing the chatbot’s natural speech, users will be able to receive input from the avatar chatbot that is nearly real-time.

Create the “Animation” microservice in the GenAIComps repository

We would need to register a new microservice, such “Animation,” under comps/animation in order to add it:

Register the microservice

@register_microservice( name=”opea_service@animation”, service_type=ServiceType.ANIMATION, endpoint=”/v1/animation”, host=”0.0.0.0″, port=9066, input_datatype=Base64ByteStrDoc, output_datatype=VideoPath, ) @register_statistics(names=[“opea_service@animation”])

It specify the callback function that will be used when this microservice is run following the registration procedure. The “animate” function, which accepts a “Base64ByteStrDoc” object as input audio and creates a “VideoPath” object with the path to the generated avatar video, will be used in the “Animation” case. It send an API request to the “wav2lip” FastAPI’s endpoint from “animation.py” and retrieve the response in JSON format.

Remember to import it in comps/init.py and add the “Base64ByteStrDoc” and “VideoPath” classes in comps/cores/proto/docarray.py!

This link contains the code for the “wav2lip” server API. Incoming audio Base64Str and user-specified avatar picture or video are processed by the post function of this FastAPI, which then outputs an animated video and returns its path.

The functional block for its microservice is created with the aid of the aforementioned procedures. It must create a Dockerfile for the “wav2lip” server API and another for “Animation” to enable the user to launch the “Animation” microservice and build the required dependencies. For instance, the Dockerfile.intel_hpu begins with the PyTorch* installer Docker image for Intel Gaudi and concludes with the execution of a bash script called “entrypoint.”

Create the “AvatarChatbot” Megaservice in GenAIExamples

The megaservice class AvatarChatbotService will be defined initially in the Python file “AvatarChatbot/docker/avatarchatbot.py.” Add “asr,” “llm,” “tts,” and “animation” microservices as nodes in a Directed Acyclic Graph (DAG) using the megaservice orchestrator’s “add” function in the “add_remote_service” function. Then, use the flow_to function to join the edges.

Specify megaservice’s gateway

An interface through which users can access the Megaservice is called a gateway. The Python file GenAIComps/comps/cores/mega/gateway.py contains the definition of the AvatarChatbotGateway class. The host, port, endpoint, input and output datatypes, and megaservice orchestrator are all contained in the AvatarChatbotGateway. Additionally, it provides a handle_request function that plans to send the first microservice the initial input together with parameters and gathers the response from the last microservice.

In order for users to quickly build the AvatarChatbot backend Docker image and launch the “AvatarChatbot” examples, we must lastly create a Dockerfile. Scripts to install required GenAI dependencies and components are included in the Dockerfile.

II. Face Animation Models and Lip Synchronization

GFPGAN + Wav2Lip

A state-of-the-art lip-synchronization method that uses deep learning to precisely match audio and video is Wav2Lip. Included in Wav2Lip are:

A skilled lip-sync discriminator that has been trained and can accurately identify sync in actual videos

A modified LipGAN model to produce a frame-by-frame talking face video

An expert lip-sync discriminator is trained using the LRS2 dataset as part of the pretraining phase. To determine the likelihood that the input video-audio pair is in sync, the lip-sync expert is pre-trained.

A LipGAN-like architecture is employed during Wav2Lip training. A face decoder, a visual encoder, and a speech encoder are all included in the generator. Convolutional layer stacks make up all three. Convolutional blocks also serve as the discriminator. The modified LipGAN is taught similarly to previous GANs: the discriminator is trained to discriminate between frames produced by the generator and the ground-truth frames, and the generator is trained to minimize the adversarial loss depending on the discriminator’s score. In total, a weighted sum of the following loss components is minimized in order to train the generator:

A loss of L1 reconstruction between the ground-truth and produced frames

A breach of synchronization between the lip-sync expert’s input audio and the output video frames

Depending on the discriminator score, an adversarial loss between the generated and ground-truth frames

After inference, it provide the audio speech from the previous TTS block and the video frames with the avatar figure to the Wav2Lip model. The avatar speaks the speech in a lip-synced video that is produced by the trained Wav2Lip model.

Lip synchronization is present in the Wav2Lip-generated movie, although the resolution around the mouth region is reduced. To enhance the face quality in the produced video frames, it might optionally add a GFPGAN model after Wav2Lip. The GFPGAN model uses face restoration to predict a high-quality image from an input facial image that has unknown deterioration. A pretrained face GAN (like Style-GAN2) is used as a prior in this U-Net degradation removal module. A more vibrant and lifelike avatar representation results from prettraining the GFPGAN model to recover high-quality facial information in its output frames.

SadTalker

It provides another cutting-edge model option for facial animation in addition to Wav2Lip. The 3D motion coefficients (head, stance, and expression) of a 3D Morphable Model (3DMM) are produced from audio by SadTalker, a stylized audio-driven talking-head video creation tool. The input image is then sent through a 3D-aware face renderer using these coefficients, which are mapped to 3D key points. A lifelike talking head video is the result.

Intel made it possible to use the Wav2Lip model on Intel Gaudi Al accelerators and the SadTalker and Wav2Lip models on Intel Xeon Scalable processors.

Read more on Govindhtech.com

[shivadmads]

Top Free Python Courses & Tutorials Online Training | NareshIT

Top Free Python Courses & Tutorials Online Training | NareshIT

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[playstationvii]

#Playstation7 #framework #BasicArchitecture #RawCode #RawScript #Opensource #DigitalConsole

To build a new gaming console’s digital framework from the ground up, you would need to integrate several programming languages and technologies to manage different aspects of the system. Below is an outline of the code and language choices required for various parts of the framework, focusing on languages like C++, Python, JavaScript, CSS, MySQL, and Perl for different functionalities.

1. System Architecture Design (Low-level)

• Language: C/C++, Assembly

• Purpose: To program the low-level system components such as CPU, GPU, and memory management.

• Example Code (C++) – Low-Level Hardware Interaction:

#include <iostream>

int main() {

// Initialize hardware (simplified example)

std::cout << "Initializing CPU...\n";

// Set up memory management

std::cout << "Allocating memory for GPU...\n";

// Example: Allocating memory for gaming graphics

int* graphicsMemory = new int[1024]; // Allocate 1KB for demo purposes

std::cout << "Memory allocated for GPU graphics rendering.\n";

// Simulate starting the game engine

std::cout << "Starting game engine...\n";

delete[] graphicsMemory; // Clean up

return 0;

}

2. Operating System Development

• Languages: C, C++, Python (for utilities)

• Purpose: Developing the kernel and OS for hardware abstraction and user-space processes.

• Kernel Code Example (C) – Implementing a simple syscall:

#include <stdio.h>

#include <unistd.h>

int main() {

// Example of invoking a custom system call

syscall(0); // System call 0 - usually reserved for read in UNIX-like systems

printf("System call executed\n");

return 0;

}

3. Software Development Kit (SDK)

• Languages: C++, Python (for tooling), Vulkan or DirectX (for graphics APIs)

• Purpose: Provide libraries and tools for developers to create games.

• Example SDK Code (Vulkan API with C++):

#include <vulkan/vulkan.h>

VkInstance instance;

void initVulkan() {

VkApplicationInfo appInfo = {};

appInfo.sType = VK_STRUCTURE_TYPE_APPLICATION_INFO;

appInfo.pApplicationName = "GameApp";

appInfo.applicationVersion = VK_MAKE_VERSION(1, 0, 0);

appInfo.pEngineName = "GameEngine";

appInfo.engineVersion = VK_MAKE_VERSION(1, 0, 0);

appInfo.apiVersion = VK_API_VERSION_1_0;

VkInstanceCreateInfo createInfo = {};

createInfo.sType = VK_STRUCTURE_TYPE_INSTANCE_CREATE_INFO;

createInfo.pApplicationInfo = &appInfo;

vkCreateInstance(&createInfo, nullptr, &instance);

std::cout << "Vulkan SDK Initialized\n";

}

4. User Interface (UI) Development

• Languages: JavaScript, HTML, CSS (for UI), Python (backend)

• Purpose: Front-end interface design for the user experience and dashboard.

• Example UI Code (HTML/CSS/JavaScript):

<!DOCTYPE html>

<html>

<head>

<title>Console Dashboard</title>

<style>

body { font-family: Arial, sans-serif; background-color: #282c34; color: white; }

.menu { display: flex; justify-content: center; margin-top: 50px; }

.menu button { padding: 15px 30px; margin: 10px; background-color: #61dafb; border: none; cursor: pointer; }

</style>

</head>

<body>

<div class="menu">

<button onclick="startGame()">Start Game</button>

<button onclick="openStore()">Store</button>

</div>

<script>

function startGame() {

alert("Starting Game...");

}

function openStore() {

alert("Opening Store...");

}

</script>

</body>

</html>

5. Digital Store Integration

• Languages: Python (backend), MySQL (database), JavaScript (frontend)

• Purpose: A backend system for purchasing and managing digital game licenses.

• Example Backend Code (Python with MySQL):

import mysql.connector

def connect_db():

db = mysql.connector.connect(

host="localhost",

user="admin",

password="password",

database="game_store"

)

return db

def fetch_games():

db = connect_db()

cursor = db.cursor()

cursor.execute("SELECT * FROM games")

games = cursor.fetchall()

for game in games:

print(f"Game ID: {game[0]}, Name: {game[1]}, Price: {game[2]}")

db.close()

fetch_games()

6. Security Framework Implementation

• Languages: C++, Python, Perl (for system scripts)

• Purpose: Ensure data integrity, authentication, and encryption.

• Example Code (Python – Encrypting User Data):

from cryptography.fernet import Fernet

# Generate a key for encryption

key = Fernet.generate_key()

cipher_suite = Fernet(key)

# Encrypt sensitive user information (e.g., account password)

password = b"SuperSecretPassword"

encrypted_password = cipher_suite.encrypt(password)

print(f"Encrypted Password: {encrypted_password}")

# Decrypting the password

decrypted_password = cipher_suite.decrypt(encrypted_password)

print(f"Decrypted Password: {decrypted_password}")

7. Testing and Quality Assurance

• Languages: Python (for automated tests), Jest (for JavaScript testing)

• Purpose: Unit testing, integration testing, and debugging.

• Example Unit Test (Python using unittest):

import unittest

def add(a, b):

return a + b

class TestGameFramework(unittest.TestCase):

def test_add(self):

self.assertEqual(add(10, 20), 30)

if __name__ == '__main__':

unittest.main()

8. Order of Implementation

• Phase 1: Focus on core system architecture (low-level C/C++) and OS development.

• Phase 2: Develop SDK and start building the basic framework for UI and input management.

• Phase 3: Work on backend systems like the digital store and integrate with front-end UI.

• Phase 4: Begin rigorous testing and debugging using automated test suites.

This comprehensive approach gives you a detailed idea of how each component can be built using a combination of these languages and technologies. Each section is modular, allowing teams to work on different aspects of the console simultaneously.

[Pixel Art/Sprites/Buildinodels/VictoriaSecretPixelArtKit #Playstation7 #DearDearestBrands]