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

2. 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.

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

4. 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 the real time basis.

5. 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.

6. 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.

7. Interactive Chatbots need be developed for the healthcare based LLM.