Projects

A cross-platform (iOS & Android) mobile app for car-wash booking and subscriptions, built with React Native and Expo. Features a configurable wash-menu catalog, a provider-agnostic payments layer (ValorPay), push notifications, and offline-tolerant data via TanStack Query persistence — backed by a FastAPI service. Released to the App Store and Play Store through an EAS Build/Submit pipeline.

A React Native (Expo) mental-health app for patients and psychiatrists, featuring mood tracking with charts, 11+ therapeutic mini-games, and a curated resources library. Implements real-time chat (Socket.IO), WebRTC video consultations, Stripe appointment payments, role-based access, and Expo push notifications — powered by a NestJS + PostgreSQL backend with Clerk auth.

Autonomous warehouse-grasping system using dual monocular cameras for 6D pose estimation and AI‑guided grasp planning. Combined computer vision, robot kinematics/inverse kinematics, and ML‑based strategies to reliably pick and place objects from arbitrary locations.

Live Demo Presentation Project Media Research Paper

A computer vision‑based project designed to automate the process of calculating the total bill by detecting products and adding their prices using a camera, similar to a cashier. Uses the YOLOv8 model for object detection and tracking. This is the MVP of the main project implemented for a supermarket where I deployed the SmartScan billing system on more than 1200 products.

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A Retrieval‑Augmented Generation assistant for Formula 1 that scrapes sources, chunks documents, embeds them into a vector store, and orchestrates answers via GPT‑5. Stack: Next.js 15, Vercel AI SDK, Puppeteer, LangChain, Astra DB (vector search), with tool‑use for fast, cited race insights and rules explainers.

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Embeddings‑driven recommendation engine that indexes titles into a vector database and uses LLM re‑ranking for context‑aware, beyond‑keyword suggestions. Highlights hybrid retrieval (dense + metadata filters) and prompt‑based justification of recommendations.

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Weather dashboard that fetches forecasts from Open‑Meteo and generates LLM‑written daily summaries from raw meteorological signals. Built with Next.js 13 (App Router), typed APIs, and @tremor/react charts — focusing on converting time‑series data into natural‑language insights.

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