Precision Agriculture and Food Safety (Funded by the Ministry of Science & Technology, Bangladesh)

• Developing an automated plant disease detection pipeline for native crops of Bangladesh utilizing computer vision and deep learning algorithms
• Working on developing an autonomous shelf-life monitoring system for fruits and vegetables by estimating the weight, volume, moisture content and deterioration state by computer vision algorithms

Landslide susceptibility mapping and flood vulnerability analysis

• Developing an automated landslide mapping and flood vulnerability analysis pipeline for Bangladesh using data collected from satelite and UAV by deep learning and computer vision

• Developed and deployed an intelligent appointment booking system on GCP with NLP models
• This project was in collaboration with Dr. Javed Mostafa of University of North Carolina, Chapel Hill

• Contributed to firmware development and automation scripts with C/C++ and python for embedded devices and contributed to backend codebase for IoT products
• Contributed to the implementation of computer vision projects

Letter of recommendation from DMA

Autonomous robot navigation (Final year project)

• Explored applications of deep reinforcement learning algorithms for autonomous map-less robot navigation in unstructured and unknown terrain by self-supervised method
• We build a mobile robot that learns to navigate through unseen mapless environments utilizing D3QN and TD3 algorithm

• Mentored gold-medal winning teams of 2020 and 2021 in International Robot Olympiad from Bangladesh
• Conducted workshops on basic Robotics, ROS1, CAD, Programming in Python

AI driven Autism Detection

• Benchmarked several models such as SVM, LSTM, VGG16, Inception on publicly available datasets for autism detection through gaze detection, gait Pattern and repetitive behavior monitoring