Projects
Pedestrian detection using deep learning
Technologies: Python, Google Colab
This is the updated version of my previous detection work. Along with vehicles, I want to detect pedestrian.
Traffic mode detection & tracking for Dhaka, Bangladesh
Technologies: Python, Google Colab
This is the updated version of my previous detection work. An arbitrary ID is assigned to a specific vehicle for tracking purposes.
Gulshan-1 intersection Simulation for CAPSTONE Project L4-T1
Technologies: VISSIM Software
In this work, I have simulated the current scenario of Gulshan-1, Dhaka intersection and found queue length.
Traffic mode detection for Dhaka, Bangladesh
Technologies: Python, Google Colab
I used Dhaka-Ai Kaggle dataset for training the model. I used a deep learning algorithm for this model.
Trip Tracker app for collecting data of users
Technologies: Flutter, MongoDB
When the app launches for the first time, it will seek location permission and a userID. The app will remember this userID. When the user goes out, he/she will click on the 'Start Trip' button and select a 'Mode.' When the trip ends, the user should press the 'End Trip' button, and then the data will be sent to MongoDB. It will collect data on location, time, and mode.