1. This internship program is to design and implement the Artificial Intelligence (AI) models for the Brain stroke/ Colon cancer/Diabetic diseases predictions by analyzing the CT Scan/MR Images/daily living nutrition data of the patients collected from the hospitals on a real time basis.

2. AI enabled models need to be developed those can automatically detect, localize, segment and quantify the stroke/cancer patients by using 3D MRI and radiological big data. Interactive AR/VR/XR models of the brain with stroke regions need to be developed, which could be useful for early diagnosis and treatment of the emergency patients.

3. Other than medical images, images from smart city, drones and IoT devices need to be analyzed to develop predictions models with with AI and Deep Learning Approach.

4. Intern student applicant should be in the final year of the UG/PG/MS/M. Tech and need to join at least for 16 weeks and at most for 24 week of the internship program.

5. Interested intern should have very good understanding of AI concepts and knowledge on Deep Learning framework such as PyTorch/TensorFlow and should have strong programming skill in Python.

6. The student is expected to join in PhD/Integrated PhD/MS program with full scholarship to continue the implementation and research upon successful completion of the internship.