Add comprehensive project metadata JSON for AI repository

[Copilot]

Analyzes all projects in the repository and generates structured metadata JSON for portfolio/documentation purposes.

Changes

• New file: projects_metadata.json containing metadata for all 10 AI projects

Structure

Each project entry includes:

• name, description, intro, problem_solved
• technologies[] - stack used
• technical_details - implementation specifics
• file - source path

Example

{
  "name": "Sentiment Analysis NLP Model",
  "description": "NLP model for sentiment analysis on social media posts and product reviews",
  "intro": "Demonstrates NLP techniques to classify emotional tone of text data",
  "problem_solved": "Automates analysis of customer feedback at scale",
  "technologies": ["Python", "NLTK", "scikit-learn", "TF-IDF", "Naive Bayes"],
  "technical_details": "Uses Twitter samples, TF-IDF vectorization, Multinomial NB achieving 76% accuracy",
  "file": "(NLP)_model_to_perform_sentiment_analysis_on_social_media_posts_or_product_reviews.ipynb"
}

Projects Catalogued

1. Sentiment Analysis NLP Model
2. Legal Document Summarizer (BART)
3. Medical Transcription & Symptom Detection (Whisper + GPT-3.5)
4. Complete ML Pipeline Template
5. Audio Conversation Classifier
6. MNIST Neural Network (from scratch)
7. Spam Email Classifier (NB/SVM)
8. Recipe Prediction Neural Network
9. Speech to Text System
10. Tic Tac Toe AI (Minimax)

Original prompt

please analyze all the repo adn provide me these things to fill the json as { name: "", description: "", intro: "", problem_solved: "", technologies: [], technical_details: "", // githubUrl: "https://github.com/FawwazRaza/QueryClip", // liveLink: "https://queryclip-demo.vercel.app", // Optional // image: "/images/queryclip.png", // Optional local image }

---

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.