Projects
Selected engineering and research projects, with source code and demos.
-
[P1]
MosquitoMiner: A Light Weight Rover for Detecting and Eliminating Mosquito Breeding Sites
MosquitoMiner is an innovative solution designed to autonomously detect and eliminate mosquito breeding sites, reducing the risk of mosquito-borne diseases. This project combines advanced robotics, computer vision, and machine learning to create a light-weight rover that can navigate through various terrains, identify potential breeding grounds, and apply targeted treatments to disrupt the mosquito lifecycle.
Robotics · Computer Vision · AI for Public Health
-
[P2]
ProMaS: Centralized Platform for Modern Project Management
ProMaS is a centralized database platform designed to modernize project management workflows by supporting resource allocation, budget control, and progress tracking. It streamlines operations for teams of all sizes while enhancing collaboration and communication among stakeholders, making it a powerful tool for delivering projects on time and within scope.
Project Management · Collaboration Tools
-
[P3]
UIU Healthcare Management
UIU Healthcare Management is a streamlined solution for managing healthcare services, featuring appointment booking, prescription handling, and access to hospital locations for UIU students, staff, and faculty members. It integrates real-time GPS data to help users find the nearest hospitals and offers a searchable database of frequently asked health-related questions to improve patient awareness and self-care.
Healthcare · Mobile App · GPS Integration
-
[P4]
MoscProtec: AI-Based Platform for Mosquito-Borne Disease Monitoring
MoscProtec is a digital platform that leverages artificial intelligence to collect, analyze, and visualize data related to mosquito-borne diseases. The system also supports automatic identification of mosquito species to guide public awareness campaigns and healthcare response. Designed to assist both researchers and the general public, it contributes to early warning and prevention efforts.
Public Health · AI · Mosquito Classification
Contact
Happy to talk about research, collaborations, or anything in the papers above. Email is the fastest way to reach me.
Send a message
Contact details
- Email msayeedi212049@bscse.uiu.ac.bd
- Secondary email faiyazabdullah114708@gmail.com
- Phone +880 1704 054900
- Location Dhaka, Bangladesh