This project addresses the increasing flood risks in India caused by climate change and extreme weather. It highlights rising fatalities, economic losses, and regional vulnerabilities, emphasizing the urgent need for improved disaster management, ear
The project develops a smart humanoid system for geriatric care using voice-driven autonomous navigation. It integrates multimodal person identification, Hindi voice interaction, and real-time monitoring powered by LLMs. The solution enhances elderly
This project develops a comprehensive autonomous-driving benchmark for transitional weather, advancing robust road-element segmentation and a vision-language model for scene understanding. It results in an efficient, integrated system that combines s
This project proposes a lightweight monocular vision system that enables autonomous UAVs to identify safe landing zones using only a single camera. By combining distilled depth estimation, gradient-based flatness analysis, and instance segmentation,
The project “AeroAgro AI: Autonomous Drone Networks for Precision Farming and Crop Health Insights” is a drone based precision farming solution, which offers efficient and effective ways of farming and maintaining fields. The drone ecosystem scan
The main aim of the project is to enhance the vehicle trajectory tracking performance and improving autonomous vehicle active safety performance under braking-steering manoeuvre.
A dataset of 350 visual and thermal water images was created, enabling image-based temperature classification (84% accuracy) and pH classification (78%, patent pending). Machine-learning models predict potability using physicochemical and microbial d
The project focuses on developing robust road object detection for autonomous driving under extreme weather. It uses GAN-based weather artifact removal, advanced models like YOLO and Transformers, simulation in CARLA, and real-time deployment on JetA
This project develops a compact, lightweight, and frequency-agile MIMO antenna system for UAVs. Using a PIN-diode-controlled feed network and integrated diplexers, the design enables rapid band switching, enhanced isolation, and reliable multi-band c
This project explores robust, energy-efficient, low-latency UAV communication using IEEE 802.11ah (Wi-Fi HaLow). By addressing limitations of RAW and TWT MAC mechanisms in dynamic UAV networks, it aims to enable real-time coordination, reliable data
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