Hi, I'm Aditya Sharma
Building modern & scalable applications
Building modern & scalable applications
I am a final-year MCA student with a strong interest in Full Stack Development, Backend Engineering, and Database Management. Building Cross-Platform Apps .
I enjoy building scalable applications, designing efficient backend systems, and creating clean, user-friendly interfaces that solve real-world problems.
Developed a Retrieval-Augmented Generation (RAG) system using Falcon-7B and ChromaDB to answer queries about Thapar University’s programs, hostels, and scholarships.
Created a real-time location tracker using Leaflet and WebSockets that shows exact user markers on a live map.
Built a user-friendly appointment booking system and implemented DevOps practices for deployment.
A simple and clean React-based Weather Application that allows users to search for weather conditions of any city using live API data. The app displays temperature, humidity, min/max temperature, weather description, and changes the background image + icon based on weather conditions.
Developed a responsive tourism site with dynamic destination details and contact sections.
Created a responsive photography site with image galleries and contact forms.
In this game user clicks on the button to follow the pattern as the button blinks . If user pattern match from start to at any level then game continous , if user press the wrong button and pattern not match then game over and red color flash on screen.
A simple and classic Snake Game implemented using HTML, CSS, and JavaScript. The game keeps track of your score, high score, and elapsed time while providing an interactive and fun experience.
StockGame is a Zerodha-inspired trading and investment simulation platform. It consists of a React frontend, Node.js + Express backend, and a dashboard to visualize trading and investment data.
A full-stack travel listings platform where users can explore destinations, list their own properties, and leave reviews. Built with Node.js, Express, MongoDB, leaflet and Passport.js for authentication.
A full-stack application that detects Spam / Smishing / Offensive content using Machine Learning.
This project is an Spam Detection Agent that classifies SMS, Emails, and Links (URLs) as Spam, Fishy, or Safe. It uses a Machine Learning model trained on text data along with URL heuristics to flag suspicious links.
Turn any GitHub profile into a recruiter-ready proof of skills and activity.
PulsePoint AI is a web application that converts long-form videos into 3–5 short, viral reels using AI. Users can upload a local video or provide a YouTube / Google Drive link, and the app automatically
I’m open to collaborating on interesting projects, internships, and innovative ideas. If you have something exciting in mind, let’s build it together.
Let’s Connect. Feel free to reach out 👇