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rag-pipeline

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Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

  • Updated Aug 27, 2025
  • Jupyter Notebook

AI-powered mock interview platform using Next.js, Gemini AI, Drizzle, NeonDB, and Clerk for dynamic questions, feedback & session recording, plus Dockerized microservices bypassing API rate limiting.

  • Updated Sep 9, 2025
  • JavaScript

An intelligent customer support system powered by LangGraph and LangChain that uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to customer queries. Built with FastAPI, FAISS, and multi-stage validation for production-ready deployment.

  • Updated Jul 25, 2025
  • Python

🛡️ Web3 Guardian is a comprehensive security suite for Web3 that combines browser extension and backend services to provide real-time transaction analysis, smart contract auditing, and risk assessment for decentralized applications (dApps).

  • Updated Aug 5, 2025
  • Python

This research aims to develop an AI Legal Chain Resolver using Mixture-of-Experts and a multi-agent system to provide tailored legal guidance. It simplifies legal navigation across statutes, precedents, and regulations while offering legal assistance through a conversational system to enhance accessibility and understanding.

  • Updated Jul 23, 2025
  • Python

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