~/projects

Projects

A list of projects I have been working on or built

EventHub

Developed “EventHub,” a centralized event planning platform with AI-driven personalised recommendations to enhance user experience. Integrated real-time analytics to track interactions and improve features based on data insights.

PythonAIReact

Real Time Traffic Control System for Emergency Vehicle

Developed a traffic control system using deep learning to detect emergency vehicles with ~85% accuracy. Integrated LoRa modules for long-range, low-power communication to pass signals between traffic lights, ensuring green signals in sequence for faster emergency vehicle movement.

Deep LearningLoRaRaspberry Pi

QuickChat

Developed “QuickChat,” a real-time chat application using the MERN stack with Socket.io for instant messaging. Implemented JWT authentication, online user status, and global state management with Zustand for a seamless user experience.

MERNSocket.ioTailwindCSS

Resume Screening AI

Developed an NLP-based resume screening tool to rank candidate resumes based on job descriptions. Extracted key skills, experience, and match percentage to assist HR in shortlisting candidates efficiently.

PythonNLPStreamlit

Salary Predictor

Salary Prediction App made with StreamLit just to practice the Streamlit framework. A Streamlit demo written in pure Python to predict salary based on your years of experience.

PythonStreamlitJavascript

Credit Card Fraud Detection

Developed a machine learning model to detect fraudulent credit card transactions using anomaly detection techniques, improving financial security and risk management.

PythonPandas & Scikit-learnMachine Learning

Sentiment Analysis on Twitter Data

Performed sentiment analysis on tweets about trending topics to classify public opinion as positive, negative, or neutral using NLP techniques.

PythonNLPData Visualization

Real-Time Weather Dashboard

Developed a web application that displays real-time weather data for any city using OpenWeatherMap API. The backend is built with Python (Flask/FastAPI) to fetch and process data, while the frontend uses React for dynamic and responsive UI.

PythonJavaScript (React)REST APIs