3rd Place

Organized by: Department of Networking and Communication, SRM Institute of Science & Technology & MeetStream AI

Developed an intelligent real-time meeting assistant using the MeetStream API to capture live transcriptions from online meetings through a custom webhook. The transcriptions are processed by an LLM for contextual understanding and converted into multilingual audio using Google Text-to-Speech, enabling side-by-side translation and seamless cross-language communication. Built with LangChain and FastAPI for scalable, event-driven AI processing and workflow automation.

3rd Place

Organized by: PES University, Bengaluru, Karnataka

Developed an advanced AI web application combining natural language processing and computer vision — designed to analyze X-ray and MRI images using deep learning models to detect medical anomalies. The system integrates a Flask backend for prediction and image processing with OpenCV to extract Regions of Interest (ROI), while a React frontend displays insights. A Language Model (LLM) further interprets contextual medical findings, providing comprehensive diagnostic support and visualization.

1st Place

Organized by: IEEE Computer Society SRMIST

Secured 1st place at LEAP'24 for developing an AI-powered web application that transforms user-uploaded photos into personalized travel journey stories. The system uses the LLaVA multimodal model to analyze image context and emotions, and an LLM to generate a coherent narrative describing the trip experience.

1st Place

Organized by: SRM Institute of Science and Technology & Bajaj Finserv

Built RaidexAI — an AI-powered web application that analyzes X-ray and MRI images using deep learning models to detect anomalies such as brain tumors, Alzheimer's, kidney tumors, and ACL injuries. The system integrates a prediction model with a Flask backend and React frontend, where detected regions are processed using OpenCV to highlight Regions of Interest (ROI). Additionally, a Language Model (LLM) performs contextual interpretation of medical findings, enabling comprehensive diagnostic insights and improved clinical decision-making.

2nd Place

Organized by: SRM Institute of Science and Technology, Ramapuram

Created a smart web application that enables interactive data analysis: the system ingests large datasets, uses an LLM and LIDA (an open-source Microsoft library for grammar-agnostic visualizations) to generate visualizations and answer user queries. The solution allows users to ask natural-language questions of the dataset and receive charts or infographics in response, supporting advanced exploration of complex data models.

1st Place

Organized by: Department of Computational Intelligence, SRM Institute of Science and Technology & HCL Technologies Limited

Developed a smart ticket booking system leveraging AWS Rekognition for facial verification to streamline event management and attendee validation. The system enables organizers to authenticate participants through a companion application, significantly reducing manual verification and preventing stampede-like crowding situations. Contributed to converting the web application into an iOS app for improved accessibility and seamless user experience.