Real Time Chatting App. Developed a robust live chat application using Next.js, Redis, and PostgreSQL, optimized for seamless real-time communication with low latency. Redis was utilized for high-speed data caching and efficient message queue management, significantly reducing message delivery time and enhancing overall performance. The application also includes functionality for adding friends via email, enhancing user connectivity and interaction.

Developed a website that enhances black and white images by applying vibrant colors using a deep learning model for color prediction. The model was built from scratch using TensorFlow and trained on real-world data. The frontend is built with Next.js, while the model microservice is powered by FastAPI. The FastAPI service is deployed on Render using Docker, and the Next.js frontend is hosted on Vercel.

I developed a fully functional Todo application that allows users to organize their tasks efficiently. Users can create todos with due dates and categorize them into different columns. The app features a notification system that sends email reminders to users before their task's due date. It also includes a drag-and-drop functionality for seamless task management across columns. For the tech stack, I utilized Next.js for the frontend, Drizzle ORM for database interactions, Resend for email notifications, and Neon for the PostgreSQL database, ensuring a robust and scalable solution.