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  • India
  • 19:04 (UTC +05:30)

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nirakar24/README.md

Hi there, I'm Nirakar Jena 👋

🚀 Artificial Intelligence & Data Science Engineer
💡 Building intelligent systems, smart APIs, and elegant UIs.

🚀 Featured Projects

🔧 A complete CRM solution with churn prediction, charts, and customer lifecycle intelligence.

🎞️ A movie recommendation system using content-based filtering & cosine similarity.

♜ React + TypeScript-based tool for chess match analysis powered by Lichess/Chess.com APIs.

📦 A FastAPI + PostgreSQL backend for managing inventory, orders, and logistics.

🧠 LLM-powered API that summarizes PubMed articles using LangChain & scientific embeddings.

🎨 A creative image gallery built with clean animations and minimalist UI.

🎧 A Java-based desktop media player with intuitive controls and local playback.

🛠️ Tech Stack

🐍 Contribution Snake

github-snake

📬 Let's Connect

⭐ If you like what I do, support my work by starring a project or following me!

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  1. Pixio Pixio Public

    Pixio is an Image Editing application(Still Developing) which uses OpenCV library for Image manipulation. GUI is made using Tkinter.

    Python 3 1

  2. Flixio_Recommendation_System Flixio_Recommendation_System Public

    Django-based movie recommendation system that leverages data scraping, database management, vectorization, similarity calculation, and recommendation generation to deliver personalized movie sugges…

    Python 1 1

  3. Warehouse_Management_System_API Warehouse_Management_System_API Public

    This project is an API designed to enhance warehouse efficiency by providing forecasts for sales, demand levels, optimal product placement, reorder alerts, and sentiment analysis. The API supports …

    Python 1

  4. InsightSync2.0 InsightSync2.0 Public

    A next-generation Customer Relationship Management (CRM) system tailored for Indian businesses, blending modern UI, real-time analytics, and AI-driven insights to empower smarter decisions and cust…

    TypeScript

  5. pubmed_llm_api pubmed_llm_api Public

    The API is designed to answer questions based on given abstracts fetched from an external source using Groq

    HTML

  6. quiz_application quiz_application Public

    JavaScript