Research & Academic Projects
SenFAI: AI Financial Advisor
An AI-powered financial advisor system that provides personalized financial guidance for university students. SenFAI uses natural language processing to understand financial queries and machine learning algorithms to provide tailored advice based on individual spending patterns and goals.
COVID-19 Detection from Chest X-rays
Developed a deep learning model that can detect COVID-19 from chest X-ray images with high accuracy. The model uses convolutional neural networks and was trained on a dataset of over 10,000 X-ray images. The project aims to provide a fast and reliable screening tool for healthcare providers.
Bangla Handwritten Digit Recognition
Created a model that can recognize handwritten Bangla digits with high accuracy. The system was trained on the NumtaDB dataset and achieved a 98.2% accuracy rate. This project helps bridge the digital divide by supporting Bangla language recognition in digital systems.
Smart Agriculture Monitoring System
Designed and implemented an IoT-based system that monitors soil moisture, temperature, and humidity for optimal crop growth. The system sends data to a cloud platform where machine learning algorithms predict irrigation needs and detect potential plant diseases early.