This project titled "Exo-planet detection" is an attempt to create a model which predicts which bodies outside Solar System are planets and which aren't. Transit Photometry and techniques of Artificial Intelligence / Deep-learning are being implemented to make a working model with high accuracy.
The objective of the project is to develop an effective fool proof mechanism that can forewarn host fishing vessels the presence of Ships and icebergs to make them safer during navigation at night by developing a device using a combination of sensors like Low Intensity Radar, AIS, GPS, etc.
Current glucose monitoring methods for the ever-increasing number of diabetic people around the world are invasive, painful, time-consuming and a constant burden for the household budget. The non-invasive glucose monitoring technology overcomes these limitations.
For any given DICOM (MRI/CT scan) series data of the patient with fiducials affixed, it is required to obtain autonomously the number of fiducials and coordinates of the centre points of the fiducials with respect any coordinate reference.
This project includes designing tractors that independently observe their position, decide speed, and avoid obstacles such as people, animals, or objects in the field while performing their task and deliver a high tractive effort (or torque) at slow speeds for the purposes of tillage and other agricultural tasks.