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AKHIL-20243566/README.md

Hey there 👋

I'm Akhil Prakash, a Computer Science undergraduate at MNNIT Allahabad with a strong interest in building intelligent software systems.

My recent work focuses on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Computer Vision, where I enjoy combining AI with software engineering to solve practical problems.

What I'm currently building

  • Hybrid RAG document intelligence systems
  • LLM-powered AI applications
  • Computer vision pipelines for sports analytics
  • Full-stack AI applications using FastAPI and React

A few quick facts

  • B.Tech CSE @ MNNIT Allahabad
  • Interested in Software Engineering and Applied AI
  • Selected among 60,000+ students across India for a competitive programming mentorship under a Codeforces Master
  • LeetCode Rating: 1791
  • I enjoy turning research ideas into working software systems

Pinned Loading

  1. AI-BASKETBALL-ANALYSIS AI-BASKETBALL-ANALYSIS Public

    🏀Computer vision pipeline for player detection, tracking, team classification, and ball possession analysis.

    Jupyter Notebook

  2. DocuMind---Operator-access DocuMind---Operator-access Public

    🔍 Hybrid RAG document assistant featuring PageIndex, FAISS, BM25, PaddleOCR, reranking, and local LLM inference with Ollama.

    Python

  3. SushrutLad/maya-near-duplicate-detection SushrutLad/maya-near-duplicate-detection Public

    Mirror of Maya - NDID - Team SSA

    Python 2

  4. BlueBasket BlueBasket Public

    🛒 An OLX-inspired marketplace built during DevJam. Not our most complete project, but the one that taught us the most.

    HTML

  5. Kalagni-Website Kalagni-Website Public

    Forked from Hersheys-commits/Kalagni-Website

    JavaScript

  6. spam-classifier spam-classifier Public

    📧 Spam message classifier using NLP, TF-IDF, and Machine Learning.

    Python