Projects

https://github.com/Naveenravi07

Professional Projects

Nova - Edtech Platform

Nova is an innovative edtech platform that I led, focused on delivering high-quality educational content through interactive quizzes and videos. I designed and implemented a robust system for managing and distributing educational resources. Leveraging technologies like Next.js, Express.js, Redis, MongoDB, and many AWS services, I built intuitive interfaces for users and instructors, significantly enhancing the overall user experience.

Key Features and Technologies

1. Custom Video Processing: Implemented efficient video processing on our own infrastructure built on top of AWS, reducing costs compared to AWS services like Mediaconvert. Utilized FFmpeg for video transcoding, ensuring high-quality streaming.

2. Adaptive Streaming: Employed HLS for adaptive streaming, delivering smooth and uninterrupted video content to users.

3. Comprehensive Analytics: Built a detailed analytics dashboard for instructors and students, displaying key metrics such as course completion rates, engagement rates, subscription counts, and revenue.

4. AI-Powered Quiz Validation: Developed an AI-based system for automatic quiz validation, enhancing the accuracy and efficiency of assessments.

Technologies Used : MongoDB,Nextjs,ExpressJs,Redis,Aws S3, Aws Ec2, Aws Cloudfront, Aws Lambda

Avara - Group Video Calling Platform

Avara is a real-time group video calling application built with WebRTC and Mediasoup, designed for low-latency, high-quality video communication. It leverages an SFU (Selective Forwarding Unit) architecture, ensuring efficient media routing and scalability for multi-participant calls

Why I Chose Mediasoup?

About a year ago, I built a basic WebRTC-based video calling app. It worked—but barely. The moment more than a few participants joined, the lag kicked in, quality dropped, and the whole experience felt unusable. I knew WebRTC was powerful, but I was clearly missing something.

That’s when I started researching different architectures and stumbled upon this video. It broke down how SFUs (Selective Forwarding Units) like Mediasoup could handle large-scale calls way more efficiently than a simple peer-to-peer setup. I was hooked.

My first attempt at implementing Mediasoup? Total failure. It was overwhelming—configuring workers, handling transport, and debugging ICE issues. But I didn’t give up. I spent more time digging into Mediasoup’s API, learning how to manage media streams properly, and optimizing server performance.

On my second attempt, things finally clicked. Avara was born—running smoothly, handling multiple participants with minimal latency, and proving why Mediasoup was the right choice.

Now, Avara leverages Mediasoup’s SFU architecture to provide **low-latency, high-quality video calls** with **adaptive bitrate streaming, efficient bandwidth usage, and server-side stream control**—everything my first WebRTC app lacked.

Technologies Used : NestJs,NextJs,Postgres,Redis,Mediasoup

Personal Projects

  • ZapPulse
    • about: ZapPulse is an TUI based blazingly fast websocket client. I developed this because i found it difficult to test websocket services from the terminal. This project focuses on simplicity and minimalisam without loosing productivity.ZapPulse is packed with Vim inspired keybinds for interaction
    • source - https://github.com/Naveenravi07/ZapPulse
    • written in - rust
  • Censor-flow
    • about: Censor Flow is an audio profanity filtering tool designed to detect and filter inappropriate language in audio files. It aims to provide an efficient solution for ensuring clean audio content. Check out the project and code here:
    • source - https://github.com/Naveenravi07/censor-flow
    • written in - rust
  • Audio-Scrapper
    • about: A simple CLI tool that scrapes audio from YouTube if a match is found, allowing you to download your entire Spotify playlist or download all songs by supplying their names through a text file.
    • source - https://github.com/Naveenravi07/audio-scrapper
    • written in - rust
  • muChat

Community Projects

  • GenEdu
    • about: GenEdu is an edtech platform built during a 30-hour hackathon at Bharata Mata College, where our team won first prize. The platform enhances students' learning experiences by streamlining daily tasks, improving study efficiency, and fostering better organization. Our goal is to make education more accessible and manageable, helping students focus on what truly matters.
    • source - https://github.com/innov8-tist/gen-edu
    • technologies used: Vite, Express, Zod, FastAPI, AI Agents
  • ShareBite
    • about: ShareBite is a project built during a hackathon at Ilahia College of Engineering, aimed at reducing food waste by connecting food donors with nearby volunteers. The platform notifies volunteers about available food donations and provides a map-based tracking system for efficient and timely distribution.
    • source - https://github.com/innov8-tist/sharebite
    • technologies used: Express.js, OpenStreetMap, MongoDB
  • i8 Stores
    • about: i8 Stores is an online store management platform built during an online hackathon. It is a specialized e-commerce platform focused on providing a curated selection of high-performance laptops and desktops, offering a seamless shopping experience for tech enthusiasts. i8 Stores simplifies the process of finding and purchasing powerful computing devices.
    • source - https://github.com/innov8-tist/i8-stores
    • technologies used: Next.js, Express.js, MongoDB