We are pioneering the boundary between the digital and physical worlds through innovative IoT, Robotics, and Hardware solutions designed for the future.
An innovative autonomous vehicle project focusing on navigation, obstacle detection, and smart control systems. It is a drone that can navigate through the air and avoid obstacles with computer vision.
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3rd Prize Winner at IEEE SSCS Competition. An IoT-enabled assistive goggle translating eye-blinks into commands for home automation and emergency response, featuring unconsciousness detection.
Learn MoreA high-performance touchless media controller for Raspberry Pi 5. Using MediaPipe and HFSM, it achieves 96%+ accuracy with an ultra-lean 16.9% CPU load for robust gesture interaction.
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Real-time edge AI application for Raspberry Pi that detects and logs potholes and road cracks from dashcam footage with 60.4% mAP for automated infrastructure health checks.
View Edge ReportA voice-to-secure-PDF examination system for visually impaired students. Offline-first, multilingual, and AES-256 encrypted to empower independent learning.
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A comprehensive research track exploring the future of mobility. This project merges our work in 2-Wheeler self-balancing, 4-Wheeler autonomous pathfinding, and ML-Integrated Rescue systems into a unified robotic mobility framework.
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An autonomous predictive maintenance system for industrial motors. Using ESP32 nodes and local Decision Tree classifiers, it achieves 1ms reaction latency to prevent mechanical failure through hardware-level interrupts.
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