Hi There!

I'M SWETA PAL

A AI/ML Developer currently Open to Work (Internships/Contract/Full-Time).

I design and develop AI-driven applications using machine learning, deep learning, and generative AI technologies, delivering intelligent, scalable, and user-centric solutions.

Know Who I'm

A Graduate Computer Science student from Bangalore, India.

- I have a strong passion for programming and am continuously expanding my skills.

- Fluent with classics like Python, JavaScript and MERN Stack, with a focus on developing innovative web technologies and products and also interested in Algorithms.

- Whenever possible, I apply my passion for developing products with Node.js and modern JavaScript libraries and frameworks like React.js.

Experience

Web Developer - Intern, VisionAstraa

Aug 2024 - Jan 2025

AI Azure Intern, Edunet Foundation

May 2025 - June 2025

Technical Intern, FOSSEE, IIT Bombay

Dec 2025 - present

Professional Skillset

HTML/CSS JavaScript JAVA React.js Express.js Node.js Tailwind Figma MySQL/SQL Data Structures & Algorithms Python Postman git/github MongoDB OOPs MySQL

Tools I Use

PROJECTS

InstaMed

A Web App that provides patients with real-time availability and location-based suggestions for the nearest doctors using MERN Stack.

GitHub Live

TravelNest

A platform for property listings, bookings, and user authentication using EJS templating.

GitHub Live

CheerCode

Application for tracking and analyzing competitive programming students' progress on Codeforces.

GitHub Live

AuraAI

Build a AI Video generator using gemini, stability.ai, framed using Streamlit (made to gain experience on AI tools)

GitHub Live

Weather App

A simple react app to check weather of locations using ReactJS.

GitHub Live

Spotify Clone

Spotify landing page replicating the look and feel of the Spotify web player built using HTML & CSS.

GitHub Live

ClimaSphere

This web app integrates real-time news and weather updates using HTML,CSS & JS.

GitHub Live

Zomato Review Sentiment Analysis

Built a machine learning model using Scikit-learn to analyze reviews of restaurents, deployed via streamlit.

GitHub Live