Elevo is an AI-powered placement preparation platform built to bridge the gap between academic learning and industry readiness. It combines coding practice, aptitude prep, resume-based mock interviews, tutor-led learning, analytics, and performance tracking into one structured system for both individual learners and organizations such as colleges or training institutes.

Bloom is a full-stack mental wellness web application built with Django that combines emotional self-care tools with therapist discovery and appointment booking. It brings journaling, mood tracking, wellness chat, insights, and access to professional care into one connected digital mental health ecosystem.

A full food delivery web app built using the MEAN stack — designed to understand how a frontend framework communicates with a Node.js/MongoDB backend through REST APIs at scale.

Because cricket matches are won in the data, before they're won on the field.

What if you could quantify pressure instead of just feel it? This project is a live ML-powered web app that reads the current state of a T20 match — score, overs, wickets, target, and chase tempo — and predicts in real time who is winning and by how much. Not a vibe. A number. With a reason behind it.

Cricket analysts and fans instinctively know when a team is under pressure, but gut feel does not scale. The goal was to turn match intuition into a reproducible, explainable machine learning system, then wrap it in an interface clean enough to belong on a broadcast screen.

Deployed on Streamlit Cloud with zero infrastructure overhead. One URL. Any device. Immediate access.

HouseVue is an end-to-end machine learning web application that predicts residential property prices based on key house features such as area, bedrooms, bathrooms, floors, condition, year built, and location. The project combines data preprocessing, model training, hyperparameter tuning, and an interactive Streamlit interface to deliver real-time price estimates with performance insights.

This project was built to demonstrate the complete workflow of a machine learning application, from data preparation to deployment. I developed a regression-based prediction system using Python and Scikit-Learn, where multiple models were benchmarked to identify the best-performing approach. The final solution was integrated into a Streamlit web app that allows users to enter property details and instantly receive predicted house prices.

Aura is a highly personalized, intelligent music streaming application designed to bridge the gap between user emotions and musical discovery. Powered by AI, it dynamically analyzes listening habits, synchronizes with users' moods, and generates adaptive, mood-based playlists using natural language prompts. The platform features an immersive, interactive user interface with dynamic visualizers (like the "Intelligent Aura" centerpiece orb), a "Vibe Tuner" for AI-curated listening experiences (e.g., "Late Night Indie Haze", "Chaos Hype Pulse"), and seamless Spotify Web Playback integration. Aura goes beyond standard music players by delivering an aesthetic, emotionally resonant audio experience.

Wearlo is a digital closet and outfit recommendation platform inspired by Alta Daily, built deliberately without any LLM API. Instead of defaulting to an AI wrapper, it uses computer vision techniques — background removal (rembg), color extraction (colorthief), and a rule-based outfit-matching engine — to keep the core product fast, cheap to run, and fully explainable.

A custom business management system built for a local boutique store, handling day-to-day store operations. This was the original system later forked and adapted into the Home Art Furniture project, establishing a reusable base for pitching custom software to local retail stores.

A business management system built for Home Art Furniture, a local furniture store — my first paid client project. Forked and adapted from the SRDC boutique system, then customized to the client's branding and inventory/operations needs. Positioned as fully customizable per store rather than a one-size-fits-all product.