Projects
Disaster Assessment From Satellite Imagery By Analysing Topographical Features Using Deep Learning
This project deals with the assessment of disaster impact through the analysis of satellite imagery using deep learning techniques. Uses semantic segmentation on pre and post disaster satellite images to detect regions with maximal damage.
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DAIRY
Dairy Record Management And Production Data Analytics System in Django. It features record keeping (like Milk Purchase Record, Stock Records, Product Sales Records, Operational Cost Records), custom Nepali date format, easier report analysis.
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Computer Vision Based Vehicle Classification and Traffic Congestion Mapping in Kathmandu Valley
An application based on Deep Learning and Computer Vision techniques to track/monitor the traffic mobility in the roads of Nepal. Custom built dataset containing >3800 images of Nepali vehicles was used to classify vehicles in the road. Technology Used: Python, Django, OpenCV, Deep Learning (YOLO CNN)
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Smart Traffic Lights
An Instrumentation Project for LOCUS 2018 with vehicular density based traffic light timings for easier traffic mobility. Technology Used: C++, MATLAB.
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