Hi, I am

MANASWIN SRIPATNALA

 

Computer Engineering student building AI-powered and full-stack systems — from computer vision projects to scalable web applications.

About & Education

Education

Bachelor of Engineering (Computer Engineering)

Marathwada Mitra Mandal’s College of Engineering

Expected June 2027 | Pune, India

Higher Secondary Education (Science)

Maharashtra Institute of Technology

July 2023 | Pune, India

Interests

Beyond traditional web development, I have a strong passion for exploring the intersection of AI and user interfaces.

3D Web Development (Three.js) Game Development (Unity/Unreal) Computer Vision

Languages

English Hindi Marathi Telugu

GitHub Activity

Manaswin's GitHub Contribution Heatmap
Manaswin's GitHub Activity Graph

Click the graph to explore my GitHub profile and repositories.

View GitHub Profile

Technical Skills

Languages

Python JavaScript (ES6+) Java C++ SQL

Web Development

React.js Node.js Express.js MongoDB REST APIs

AI & Machine Learning

OpenCV YOLOv8 Scikit-learn NumPy & Pandas Flask FastAPI

Tools & Databases

Git & GitHub Postman MySQL Cloudinary Netlify Vercel Render

Key Projects

AI Traffic Moderator

PBL-II Winner | IEEE IGNITE 2026 (Accepted)

A real-time computer vision system for vehicle detection and an adaptive traffic signal algorithm to optimize traffic flow. Achieved reliable detection under low-light and urban conditions.

Python YOLOv8 OpenCV

Lumina Beauty

AI Skin Tone Analysis

Engineered an AI-driven skin tone analyzer using K-Means clustering and LAB color space distance calculations to accurately match cosmetic shades. Integrated with a React frontend and Flask REST API.

Python OpenCV React Flask

Contract Farming Platform

Top 7 Teams - SIH 2024 (Internal)

A full-stack web platform connecting farmers and buyers. Designed RESTful APIs, structured the backend using MVC architecture, and implemented an efficient database schema.

MongoDB Express React Node.js

Restart London

Modern Web Application

A dynamic single-page application deployed on Render. Features a modern frontend built with Vite and React for optimal performance.

React Vite JavaScript

Ayur 3D

Interactive 3D Web Experience

An immersive, interactive 3D web application. Utilizes WebGL rendering techniques to deliver a high-performance visual experience directly in the browser.

Three.js JavaScript WebGL

Lamborghini 3D

Interactive 3D Web Experience

A showcase of an interactive 3D Lamborghini model on the web. Features advanced materials, lighting, and camera controls using Three.js.

Three.js JavaScript WebGL

Yuva Textiles

E-Commerce Web Application

A modern e-commerce platform for an apparel & textiles company. Built with a responsive UI and product catalog management.

React Node.js CSS

Jiremali Samaj

Community Platform

A live community platform serving 120+ users. Features user management, content access, and engagement tools for a real-world community.

MERN Stack REST APIs Render

Experience & Achievements

Internships

Full Stack Developer Intern

theCodersHub

Jan 2026 - April 2026

  • Developed and deployed Jiremali Samaj — a live community platform serving 120+ users.
  • Developed RESTful APIs for the ReadBuddy mobile application for content access and marketplace.
  • Managed deployment and backend integration for real-world production usage.

Junior Web Developer Intern

Yuva Textiles (via YuvaIntern)

Mar 2025 - May 2025

  • Built and deployed Yuva Textiles — an e-commerce web platform for an apparel & textiles company.
  • Implemented responsive product catalog, user interface, and deployment pipeline.

Certifications & Awards

IntrnForte — Data Science

Certified in Data Science.

IntrnForte — Full Stack Web Dev

Certified in Full Stack Web Development.

AWS Academy — Cloud Foundations

AWS Academy Graduate — Cloud Foundations Training Badge.

Winner – PBL 2024

Secured 1st place for the AI Traffic Moderator project.

IEEE IGNITE 2026

Research paper on AI-based Traffic Optimization accepted (with major revisions).

Intel Unnati

ML Training Workshop — Hands-on training in Machine Learning fundamentals and applications.