Ashu Jenekar

Designed and built a complete telemedicine system with user, doctor, and admin dashboards using React.js, FastAPI, and Machine Learning Model. Integrated an AI-powered symptom checker using a machine learning model trained on medical datasets for initial diagnosis support. Enabled features like real-time video consultations, appointment scheduling, and secure medical record upload/download with role-based access control.

Developed a deep learning-based traffic management system using YOLOv8 for real-time vehicle detection and lane-based counting. Implemented an adaptive traffic signal control system that adjusts signal timing based on vehicle density and real-time data. Built a web dashboard with FastAPI for real-time traffic monitoring, vehicle count visualization, and data-driven signal control adjustments.

Developed an AI-based system to optimize public budget allocation by analyzing historical data and predicting resource needs, ensuring efficient distribution and decision-making. Designed and implemented a FastAPI backend for seamless data processing, integrating a user-friendly dashboard for users. Enhanced public engagement through the integration of a chatbot, allowing citizens to access information.