PROJECTS

Autonomous rover for detecting and eliminating mosquito breeding places.

Uses a custom dataset for precise navigation and identification of breeding grounds.

Employs chemical agents to eliminate mosquito habitats.

Centralized database for modern project management.

Supports resource allocation, budget control, and progress tracking.

Enhances collaboration and communication among project stakeholders.

Simplifies healthcare management with appointment booking, prescriptions, and hospital location.

Utilizes real-time GPS data for locating the nearest hospitals.

Provides a database of health-related FAQs.

A platform to collect and analyze data on mosquito-borne diseases and provide public support.

Identification of mosquito species and real-time detection of mosquito breeding places using deep learning models.

Assists visually impaired individuals in learning and using Braille through hand gloves equipped with a camera and a custom CNN model named BrailleNet.

BrailleNet achieves 97.44% accuracy on a Raspberry Pi.

Enhances soldiers’ situational awareness with real-time feedback.

Features: mine detection, location tracking, heartbeat and SpO2 monitoring, and balancing spikes.

Hardware components: GPS, soil moisture, and ultrasonic sensor.