Smart Personal Website

Goal

Build a personal website that not only displays content but learns from user interaction and provides personalized recommendations — combining full-stack development, data pipeline, and lightweight ML.

Stack & Architecture

• Frontend — React / HTML (current) · REST API client
• Backend — Node.js / Python (MongoDB-backed REST APIs)
• Data — User interaction logging (page view, click, dwell time, scroll depth)
• ML — Lightweight recommendation (Logistic Regression / Collaborative Filtering)
• Auth — Firebase Authentication

Core Features (Planned / In Progress)

• User interaction tracking → MongoDB (or Firebase) data pipeline
• Content metadata (tags, category) for recommendation
• Real-time inference: “Recommended for you” / “You may also like”
• Dynamic UI suggestions (sidebar, cards) based on inferred interests
• Firebase Auth: login, comments, saved content, personalized recs
• Performance: API caching, lazy loading, DB indexing, CDN

Resume / Portfolio One-Liner

Developing a full-stack personal website with MongoDB-backed REST APIs for user interaction logging; building a lightweight recommendation system (logistic regression / collaborative filtering) for personalized content suggestions; implementing real-time inference pipeline and dynamic UI recommendations; integrating Firebase authentication and deploying on a custom domain.