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shakeelscribes/README.md 
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║                                                                  ║
║   class MohamedShakeel:                                          ║
║       role        = "AI / ML Student"                            ║
║       location    = "Tirunelveli, Tamil Nadu, India 🇮🇳"         ║
║       focus       = "RAG Systems + LLM Applications"            ║
║       currently   = "Building AI systems that actually work"     ║
║                                                                  ║
║       def philosophy(self):                                      ║
║           return "LLMs become useful when they know where        ║
║                   to look. Retrieval is everything."             ║
║                                                                  ║
║       def mindset(self):                                         ║
║           return "Consistency > Perfection"                      ║
║                                                                  ║
╚══════════════════════════════════════════════════════════════════╝


// CURRENTLY_BUILDING

@@  RAG Architecture  @@

+ Retrieval-Augmented Generation Pipelines
+ Semantic Chunking & Hybrid Search
+ Fine-tuned Embedding Models for Domain Retrieval
+ Agentic RAG with Memory & Tool-calling
+ FastAPI backends for production ML services
+ Streamlit + Docker AI app deployment

// TECH_STACK


[ CORE ML ]

Python PyTorch TensorFlow scikit-learn Keras

[ LLMs & GEN AI ]

HuggingFace LangChain LlamaIndex OpenAI Gemini Ollama

[ VECTOR DBs & RETRIEVAL ]

FAISS ChromaDB Pinecone Weaviate

[ DATA & EXP ]

NumPy Pandas Jupyter Matplotlib

[ DEPLOYMENT ]

FastAPI Streamlit Docker Supabase Git



// PROJECTS


🩺 CardioGuard — Cardiovascular risk prediction system FastAPI Flutter Next.js Supabase ML Classification Real-time risk scoring with multi-platform frontend & live data sync

🎬 CineSync — AI-powered Telegram movie recommendation bot LangChain n8n Telegram API Understands natural language queries to surface the right film, every time

📚 BriefMind — NLP-based document summarizer NLP Transformers Python Cuts reading time dramatically by distilling documents to their core

⚖️ LexAI — AI legal query assistant Gemini API Streamlit RAG Makes legal reasoning accessible through conversational AI



// HOW_RAG_WORKS

flowchart LR
    A(["🧑 User Query"]) --> B["⚡ Retriever"]
    B --> C[("🗄️ Vector DB")]
    C --> D["📄 Relevant Chunks"]
    D --> E["🧠 LLM"]
    E --> F(["✅ Grounded Answer"])

    style A fill:#0a0a1a,color:#00f5ff,stroke:#00f5ff
    style B fill:#0a0a1a,color:#a78bfa,stroke:#a78bfa
    style C fill:#0a0a1a,color:#00f5ff,stroke:#00f5ff
    style D fill:#0a0a1a,color:#a78bfa,stroke:#a78bfa
    style E fill:#0a0a1a,color:#00f5ff,stroke:#00f5ff
    style F fill:#0a0a1a,color:#a78bfa,stroke:#a78bfa
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// GITHUB_TELEMETRY





- "Just another ML student"
+ "Building AI systems that actually work, from Tirunelveli."

© Mohamed Shakeel · Built with curiosity & caffeine ☕

Pinned Loading

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