What We Do
Reasearch Work
SocialSense – Large language model based social media comments classification Click here to watch the video.
ShotSense – AI based cricket batting coach app
Wasail – ML based demand forecasting for grocery stores
EO & GBD - Combining Earth Observation data and GIS to analyze environmental factors impacting public health and assess the Global Burden of Disease
Urban Green Spaces - Investigating urban green spaces to enhance public health and well-being in major cities.
POIs (Affected Schools and Hospitals) - Improving infrastructure resilience by analyzing environmental impacts on educational and healthcare facilities.
Pollution sources - Utilizing AI and satellite imagery to detect pollution sources, aiding in environmental protection.
Trash Detection - Developing AI-powered solutions for urban trash management to keep our cities clean.
Poverty Mapping - Using satellite data and socioeconomic indicators to map poverty levels and guide targeted interventions.
Deforestation Trends-Monitoring Forest trends with remote sensing and AI to support conservation efforts.
Mall Management System - AI powered people counting and car plate detection
Implementing AI-based systems for effective vehicular traffic management in urban areas.
Tax Collection - Using Nighttime lights to check tax collection
Firearms Detection-Enhancing public safety with AI algorithms that detect firearms in real-time across various environments.
Expense Tracking - Utilizing AI for advanced financial management and expense tracking.
Churn Prediction - Predicting app user churn with AI to help developers retain users effectively.
Personality Detection - Pre-evaluated efficiency resources personality detection using questionnaire, images, and handwriting sample.
AI Leads
Research Team
About Us
The Center for AI Research (CAIR) is a premier AI graduate research lab at BNU, dedicated to advancing the field of artificial intelligence. Under the expert leadership of
Dr. Usman, Ms. Aruj, and Ms. Huda, the lab is at the forefront of pioneering research that addresses some of the most pressing challenges of our time.
Our current research portfolio primarily focuses on several critical areas:
- [Geo-AI] Geospatial Analysis and Environmental Monitoring: Utilizing AI for advanced geospatial analysis and monitoring environmental changes.
- [Vision-AI] Computer Vision and Image Processing: Developing innovative computer vision techniques and image processing algorithms.
- [Predict-AI] Predictive Analysis and Behavioral Analysis: Creating predictive models to analyze and forecast behaviors and trends.
- [ML-Efficiency] Efficient Machine Learning Algorithms: Designing and optimizing machine learning algorithms to enhance their efficiency and effectiveness.
- [AI-Policy] AI Policy: Led by Ms. Aruj, this research area focuses on developing and implementing AI policies to ensure ethical standards and societal benefits in the deployment of AI technologies.
The Center for AI Research at BNU is committed to fostering a collaborative environment where cutting-edge research can thrive, contributing to both academic advancements and practical solutions for global challenges.