Student Projects

Use deep learning models for real-time object detection in retail environments. Build smart shopping solutions like automated checkout systems, shelf monitoring, or product recommendation systems.

Early detection and treatment of brain cancer are crucial, and one approach for diagnosis involves utilizing deep learning models based on Convolutional Neural Networks (CNNs) to analyze MRI image data and identify brain cancer.

Scan disaster affected areas using drones to plan disaster rescue. Perform a disaster damage assessment in the aftermath of a disaster.

EEG data and machine learning algorithms will be used to accurately identify and classify epileptic seizures, aiding in early detection and timely intervention for individuals with epilepsy.

Train a deep learning network to recognize different native food items in images and estimate their calorie content. This can be useful for dietary monitoring, meal planning, or health-related applications.

Face recognition, while a person is wearing a mask, is a difficult task. An artificial intelligence based person recognition system will be developed that can detect a person even while he is wearing a mask.

EEG data and machine learning algorithms will be used to forecast the occurrence of epileptic seizures, enabling patients to take preventive measures in advance.

Automatic traffic control using AI cameras. Detecting and tracking vehicles or pedestrians in traffic surveillance videos. Analyze traffic patterns, count vehicles, measure traffic density, or detect violations like red light jumping or wrong lane usage.