Projects

Developed an AI-powered Enterprise Assistant platform designed to streamline organizational knowledge access, intelligent document search, and conversational AI interactions. The system enables users to upload enterprise documents, perform semantic search, retrieve contextual information, and interact with an intelligent chatbot capable of generating accurate, context-aware responses using Retrieval-Augmented Generation (RAG) architecture.

Multi-Agent AI Platform for Intelligent Healthcare Workflow Automation: Developed an advanced Agentic AI-powered healthcare platform that automates critical clinical workflows such as prior authorization, care-gap detection, patient analysis, and healthcare decision support using multi-agent orchestration and FHIR-compliant healthcare data. The system integrates modern AI agents, real-time workflow execution, and interactive healthcare dashboards to improve operational efficiency and patient care intelligence.

AI-Driven Extreme Rainfall Forecasting and Disaster Intelligence for the Northwestern Himalayas Developed an advanced real-time rainfall forecasting and vulnerability analysis platform using the SARITA (Spatio-temporal Attention driven Rainfall Inference using Transformative Architecture) model. The system predicts rainfall patterns up to 3 hours ahead and provides interactive spatial visualization, anomaly detection, and vulnerability mapping for the Northwestern Himalayan region.

Developed an AI-powered predictive maintenance system that predicts machine failures using industrial sensor data collected from underwater robotic systems at Coratia Technologies Pvt. Ltd. The project focuses on reducing unexpected downtime and improving operational efficiency through machine learning-based failure prediction.

Designed and implemented an end-to-end deep learning model to automatically identify spoken language (English or Mandarin) from short, spontaneous audio clips. Voice of Nation is an AI-powered multilingual speech classification system developed to identify and classify 10 Indian languages from short audio recordings. The project focuses on solving the challenge of language recognition in a diverse multilingual environment using modern deep learning and transformer-based architectures.

The Solar Electric Hybrid Oven with IoT Integration is an advanced cooking system that combines solar thermal energy and electrical heating to provide an efficient, portable, and eco-friendly cooking solution. The project is designed to reduce dependency on conventional electricity while improving the performance limitations of traditional solar cookers. The system uses a foldable parabolic solar concentrator to focus sunlight onto the oven chamber, generating high thermal energy for cooking. The oven can operate in three different modes: Solar Mode, Electric Mode, and Hybrid Mode. In solar mode, cooking is performed using concentrated solar radiation, while electric mode uses heating rods powered by electricity. Hybrid mode combines both energy sources to improve cooking speed and maintain operation during low sunlight conditions. The oven integrates IoT-based automation using a NodeMCU microcontroller, thermocouple sensors, and relay modules. Users can monitor temperature, set cooking time, and control oven operations through a mobile application. Electrochromic film attached to the glass surfaces regulates solar radiation entering the chamber by switching between transparent and opaque states based on temperature conditions. The project focuses on renewable energy utilization, smart automation, portability, and energy efficiency, making it suitable for households, restaurants, outdoor cooking, and off-grid applications.

As part of the Foundation Design Practicum Course, I worked on a team project to design and develop a Wi-Fi controlled mini robot using the Robot Operating System (ROS) platform. The project focused on integrating robotics concepts, wireless communication, and real-time control systems into a functional prototype.