AI Lawyer is a state-of-the-art application designed to assist users with legal needs. It utilizes Graph Retrieval-Augmented Generation (Graph RAG) for contextual document retrieval, Neo4j for graph-based knowledge representation, and Ragas for robust QA validation. Users can ask legal questions, receive document drafting assistance, and get case analysis with validated, accurate responses.

DubAI is a web application that leverages advanced AI technologies to dub Youtube videos in over 20 languages. The platform utilizes state-of-the-art models for automated transcription and translation, ensuring high-quality audio separation and dubbing. Users can easily upload their youtube video link, select the desired language, and receive a dubbed version that seamlessly integrates with the original video.

Developed as part of our course project, this platform enables users to share ideas and journals effortlessly. It features a user-friendly interface, a powerful admin dashboard for content moderation, and interactive discussions. Security and accessibility were key focuses, ensuring secure authentication, password recovery, and efficient content management.

The Shape Drawer project is a graphical application that allows users to draw, manipulate, and interact with various shapes on a canvas. This project is built using C# and leverages the SplashKitSDK library for graphical rendering and event handling. The application supports drawing shapes, with features such as shape selection, color changes, and background customization.

The Bus E-Ticketing System allows passengers to reserve seats online, while administrators can manage fleet schedules and seat availability in real-time. With secure authentication, real-time booking, and integrated payment processing, the system enhances the public transportation experience by offering a seamless and digitalized ticketing process.

Awesome Weather App allows users to instantly check the weather of any city without requiring authentication. It features a visually appealing interface with interactive GIFs that change dynamically based on weather conditions. Alongside temperature updates, users can view humidity, wind speed, and other weather details.

This project focuses on breast cancer detection using machine learning techniques. We utilized the Breast Cancer Wisconsin dataset, which contains diagnostic data for breast cancer patients. The project involved data preprocessing, feature selection, and model training using various algorithms to achieve accurate predictions.

This project focuses on detecting signboards using YOLOv5 model. We annotated images using CVAT, prepared a structured dataset, and trained the YOLOv5 model for signboard detection. After training, we evaluated the model's performance and applied it to predict signboards in new images.

WatchDog is a surveillance robot designed to monitor and secure indoor spaces. It features a live video streaming function, enabling users to remotely view the robot's surroundings with access of multiple sensory data.

Showcased at TechSpectra, this pick-and-place robot is designed to grasp, hold, and release objects with precision. Built on an Arduino framework, it integrates two servo motors for seamless arm and claw operation. This ensures flexibility and efficiency in various tasks requiring delicate handling.