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Rohitdhakal1/README.md

👋 Hi, I'm Rohit Dhakal

Computer Science student building full-stack web apps and AI based applications.
Interested in backend systems, frontend , and integrating LLMs uisng APis or Local(Ollama).

Currently Working On

  • AI-assisted personal knowledge systems
  • Full-stack MERN applications
  • Learn more about Data Structures & Algorithms

Tech Stack

JavaScript • TypeScript • React • Node.js • Express Socket.IO • Redis • Docker • Java • LLMs • AI APIs

🌟 Projects

  • IdeasAnswer – AI-assisted knowledge base with contextual querying (MERN + Redis + LLM APIs)
  • ComfiSpace ChatApp – Real-time chat application using React, TypeScript, and Socket.IO
  • ShrinkIt – Lightweight URL shortening service
  • AI HealthTrack – Fitness tracking with AI-powered insights
  • AI PPT Generator – AI system that generates PowerPoint presentations from input content
  • DSA Java Solutions – Data structures and algorithms implementations in Java

Connect (-__-)

LeetCode: https://leetcode.com/u/rohitdhakal1/
LinkedIn: https://www.linkedin.com/in/rohitdhakal/
Email: rohitdhakal011@gmail.com | kashyap123rohit@gmail.com

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  1. ShrinkIt_urlShortner ShrinkIt_urlShortner Public

    full-stack URL shortening service built with React and Node.js as well as typescript (-_-)

    TypeScript 1

  2. Subscriptions_tracker-backend-only- Subscriptions_tracker-backend-only- Public

    personal subcriptions_tracker use monolithic architecture , upstash and arcjet for extra features and security

    JavaScript

  3. ComfiSpace-ChatApp ComfiSpace-ChatApp Public

    Full-stack real-time chat application using React, TypeScript, Express, and Socket.IO

    TypeScript 1

  4. Ai-HealthTracking Ai-HealthTracking Public

    fitness tracking application that utilizes the Google Gemini AI model

    TypeScript 1

  5. Ai-ppt-generator- Ai-ppt-generator- Public

    The project is developed on the ferm stack which is firebase , express, react and mongodb

    TypeScript 1

  6. IdeasAnswer IdeasAnswer Public

    AI-assisted personal knowledge base with contextual querying using MERN, Redis, Docker, and local LLMs.

    JavaScript 1