A smart app to predict mental health needs using a questionnaire + facial expressions
π React, MERN, Scikit-learn, Gemini API
Predicts prices for old and new cars based on key features
π React, Flask, Scikit-learn (Random Forest, XGBoost), Tailwind
Anonymous message sharing platform with a minimalist UX
π ReactJS, frontend-focused design
Performed EDA and used Linear Regression to estimate total cost
π Python, Pandas, Seaborn, Matplotlib
- π Full Stack Development (Node.js + MongoDB + Express)
- π Machine Learning fundamentals with Scikit-learn
- π§ͺ API integrations & hosting (Render, Vercel)
- π₯ Finalist β Inohax 1.0 Hackathon (Top 30)
- Hackerrank software engineer role certification
- AWS badges for EC2 and S3
"Iβm not just building apps, Iβm building myself β one commit at a time."