GPA Calculator: An interactive tool for calculating your Grade Point Average based on your academic performance.

Tic Tac Toe: A classic game of Tic Tac Toe with both a two-player mode and an AI mode. The AI mode utilizes the Minimax algorithm to provide an intelligent opponent.

Snake Game: A fun and challenging Snake game with increasing speed.

Weather App: A weather forecasting application that provides current weather conditions based on the location.

Chat Application: real-time chat application with features like user authentication and file sharing between 2 users.

Graph plotter: This project implements a graph plotter for 2D and 3D visualizations, enabling users to plot mathematical functions and datasets interactively. It supports multiple graph types, customizable settings, and real-time rendering for better data analysis and visualization.

T20 Score Predictor: An advanced machine learning model designed to forecast the final score of a T20 cricket match based on live match data. Leveraging the power of Random Forest algorithms, this tool provides real-time predictions by analyzing critical match parameters such as the score from the last five overs.

Landslide detection: This project utilizes U-Net and U-Net++ for landslide detection using satillite images. The models perform semantic segmentation to accurately identify landslide-affected areas for disaster management.

Fake news detection: This project leverages NLP and machine learning to detect fake news by analyzing textual patterns and linguistic features. It employs techniques like TF-IDF, POS tagging, and classifiers such as Decision Tree and XGBoost for accurate misinformation identification.

Image Encryption Tool: A tool for encrypting and decrypting images using AES cryptographic algorithm.

Digital Asset management A tool to upload and retrieve files using AWS services.

Animal Classification: This project aims to accurately classify various types of animals in images by leveraging advanced computer vision techniques. We employed Spatial Pyramid Pooling (SPP) and Histogram of Oriented Gradients (HOG) to enhance feature extraction and improve classification accuracy. The preprocessing step involved removing the background from the images, further boosting the model's performance by focusing on the animal features.