Research and development on Machine Learning and Deep Learning based applications such as Intrusion Alert (Product - REACT), Face Recognition 2D (Product - Facesense), Vehicle Profiling, Automated Number Plate Recognition, Vehicle Speed Detection using python for backend programming and SQL for data management.

Project title: Development of Pressure Sensors For Foot ulcer DetectionThe project involves design and development of pressure sensor for foot ulcer detection using screen printing technology. Carbon black was used as the sensing material. The sensor design was developed using CAD tool and then simulated using COMSOL tool. Using the developed sensors, clinical trials were conducted to check their accuracy in detecting the foot ulcers.

Project title: A Tool To Analyze Life Style Behavior From Health RecordsThe project involved the development of a tool (using python) to analyze the life style behavior using electronic medical records. The objective was to retrieve the EMR data (which was in MySQL DB format) and analyze it, so as to keep a track on the health condition of the patients post surgical procedures. Also an user interfaces was provided.