SuvidhaAi
React.js
FastAPI
MongoDB Atlas
Socket.io
Random Forest
Python
SuvidhaAi
Built a full-stack marketplace (React, MongoDB Atlas) serving 100+ active users with geospatial queries, a FastAPI fake-review detection & Random Forest demand-prediction microservice (85% accuracy), real-time Socket.io chat (93% delivery rate), and role-based access control.

Project Goals

The main goal of this project was to explore the possibilities of integrating modern web technologies to solve a real-world problem. We focused on creating a seamless user experience, ensuring scalability, and maintaining a high level of code quality through best practices in frontend and backend development.

Challenges Faced

One of the biggest challenges was to ensure the application was performant across all devices. We overcame this by implementing server-side rendering with Next.js and optimizing our static assets. Another challenge was managing state in a complex application, which we solved using React's context API combined with custom hooks for a clean and maintainable architecture.

What I Learned

This project was a great learning experience. I deepened my understanding of full-stack development, especially in building and deploying scalable applications with Vercel. I also improved my skills in creating responsive and accessible user interfaces with Tailwind CSS and modern UI principles.