Konnifel selects Rohit Jha’s research contributions as the Feature for October 2026 (Click here to Read Full Story) | Konnifel selects Aprajita Rai’s research contributions as the Feature for September 2026 (Click here to Read Full Story) | Konnifel selects Krishna Joshi’s research contributions as the Feature for August 2026 (Click here to Read Full Story) Field of Internship
Computer Science EngineeringResearch Area of Internship
Artificial intelligence and Machine learningAbout Internship
Assistant Professor from Dr BR Ambedkar National Institute of Technology, is accepting candidates interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.
This research internship provides students with an introduction to the application of artificial intelligence and machine learning in medical image analysis. Students will explore how computers can process medical images, identify visual patterns, and assist in classification and analysis. Through guided activities, participants will learn the fundamentals of image processing, machine learning, and deep learning while gaining introductory exposure to image datasets and basic computational techniques. The internship will also introduce students to scientific literature and the research process, helping them understand how artificial intelligence is being explored as a tool in modern healthcare and biomedical research.
Desired Skills/Techniques
Who is eligible?
High-schoolers, 12th pass-outs, gap year and diploma students.Mode of the Internship
VirtualOpen Positions
The number of interns being selected is flexible and dependent on the quality of applications for this Internship.Internship Duration
3 MonthsPaid/Unpaid
UnPaidApplication opens on
Available round theApplication Deadline
Available round theStarting date of Internship
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fellowships and other research opportunities with professors, scientists and universities, available on Konnifel.
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Mandatory Offer Letters and Internship Completion Certificate from Professors for selected internships.
