Skip to content
View Corerishi's full-sized avatar
🎯
Focusing
🎯
Focusing
2 followers · 3 following

Block or report Corerishi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Corerishi/README.md

Hi, I'm Rishi Raj

MCA student at CHRIST (Deemed to be University), Bengaluru.
I build things at the intersection of AI, full-stack dev, and Android.

🚀 What I'm Working On

  • ArtifactLens — Deepfake detection using ResNet50 + MTCNN (FastAPI + React + MongoDB Atlas)
  • Briefly.CU — NLP-powered article summarizer built with Python
  • Exploring LangChain, RAG pipelines, and local AI agents with Ollama

🛠️ Tech I Work With

Languages: Python, Kotlin, JavaScript, Java, PHP
Frameworks: FastAPI, React, Jetpack Compose, Django
Databases: MongoDB, MySQL, Room (Android)
Tools: TensorFlow, scikit-learn, Git, Firebase, AWS

📌 Featured Projects

Project Description Stack
ArtifactLens AI-powered deepfake detection web app FastAPI, React, TensorFlow
Briefly.CU NLP article summarizer Python, NLP
ReviewMind AI assistant using RAG pipeline Python, LangChain
StockSight Stock prediction using ML Python, Jupyter

📫 Connect

LinkedIn

Pinned Loading

  1. ReviewMind ReviewMind Public

    Fully local RAG chatbot that answers questions about restaurant reviews using LangChain, ChromaDB, and Llama 3.1 — no API keys, runs 100% offline.

    Python 1

  2. Recrafted Recrafted Public

    Full-stack PHP e-commerce platform for reselling luxury goods — user auth, product catalogue, shopping cart, billing and order management backed by MySQL.

    PHP

  3. StockSight StockSight Public

    End-to-end stock market analysis notebook — fetches live MSFT data, computes 50MA, 200MA & RSI indicators, and predicts closing prices using Linear Regression.

    Jupyter Notebook

  4. VitalGaze VitalGaze Public

    Full-stack facial health analysis app — captures a live webcam frame and analyzes skin redness, pimple detection, eye droopiness, and intoxication signals using MediaPipe FaceMesh and OpenCV.

    HTML