Under the IndiaAI Mission’s FutureSkills initiative, fellowships were offered to students in B.Tech. and M.Tech. programs at the top engineering colleges in India. Students who undertake AI projects, thus bridging the gap between theoretical knowledge and practical application and ensuring a workforce proficient in essential AI skills, were considered for the fellowship. IndiaAI Fellowship program received 280 B.Tech and 110 M.Tech nominations. Grants were disbursed to 77 B.Tech and 12 M.Tech students. 

The B.Tech fellowship saw a strong response from top-tier technical institutions. The Indian Institute of Technology (IIT) Kharagpur, S.R.M. Institute of Science and Technology, Aligarh Muslim University, and Sri Sivasubramaniya Nadar College of Engineering were among the institutions that submitted the application. Institutions such as Chandigarh University, Visvesvaraya Technological University, Dr B.R. Ambedkar National Institute of Technology, Jalandhar, IIT Hyderabad, IIT (BHU) Varanasi, IIT Guwahati, IIT Roorkee, IIT Madras and Amity University were selected for the fellowship. 

The M.Tech fellowship witnessed participation from various prestigious institutions. Among the universities selected for the grant were the Indian Institute of Technology (IIT) Kharagpur, Indian Institute of Space Science and Technology, Dr B.R. Ambedkar National Institute of Technology, Jalandhar, Indian Institute of Technology Gandhinagar, National Institute of Technology Calicut, the Indian Institute of Technology Roorkee, the Defence Institute of Advanced Technology, and the Indian Institute of Technology Madras. 

The submissions for the B.Tech fellowship covered a wide array of innovative projects, showcasing the broad applications of AI and ML across various fields. One prominent theme was the use of AI in healthcare, with numerous projects focusing on improving medical diagnostics, disease detection, and personalized treatment. These included AI-driven systems for early disease detection, medical image segmentation, and even applications in cancer treatment, highlighting how AI can enhance healthcare outcomes and accessibility. 

Another key area of focus was education, where several projects explored the potential of AI to create more inclusive and adaptive learning environments. There was significant interest in AI for environmental and sustainability challenges, autonomous systems and robotics, and security and privacy. 

The submissions for the M.Tech fellowship focused on the application of AI, ML, and data analysis to address a wide range of real-world problems. Several key themes emerged from the submitted projects, reflecting innovation in multiple domains. One prominent area was speech recognition and natural language processing (NLP), with multiple projects focused on language-specific AI systems. For instance, there were efforts to design and implement Automatic Speech Recognition (ASR) systems tailored for Tamil and Marathi, aiming to enhance communication and accessibility in regional languages.