A modern e-commerce platform built with Next.js and Prisma, offering a wide range of categories including Beauty, Fragrances, Furniture, Groceries, Home Decoration, Kitchen Accessories, Laptops, Men's and Women's Fashion, Electronics, Sports Accessories, and more. It provides an optimized shopping experience with secure database management and seamless product browsing.

A modern full-stack e-commerce platform built with React.js and Node.js. It features a sleek Bootstrap-powered UI, secure user authentication, smooth payment integration with Stripe, and a powerful admin dashboard for managing products, orders, and customers effortlessly.

A stylish e-commerce platform tailored for women and girls, offering a wide range of trendy fashion, accessories, and lifestyle products. Built with Next.js and TypeScript, it ensures a seamless shopping experience with real-time updates, secure payments, and a modern user-friendly interface.

A full-stack food e-commerce platform built with the PERN stack (PostgreSQL, Express.js, React, Node.js). It allows users to browse, search, and purchase food items with a responsive UI, smooth checkout process, and secure data management.

A cross-platform fitness application with workout tracking, personalized plans, and social features.

A booking platform for unique travel experiences with interactive maps, reviews, and secure payment processing.

A sleek dashboard interface for personal finance management with data visualization and reporting features.

An AI-powered application that detects and classifies plant leaf diseases using deep learning, helping in early diagnosis and agricultural decision-making.

A social media platform with real-time messaging, content sharing, and community building features.

A healthcare application for tracking medical records, appointments, and medication reminders.

An open-source framework for building real-time multimodal conversational agents. It enables AI systems to see, hear, and speak naturally with ultra-low latency using pluggable pipelines for STT, LLMs, and TTS.