Lab2Market 2023 is a programme that aims to help students and researchers at Indian universities commercialise their research. This year, K-Tech CoE partnered with INDIAai on the Lab2Market initiative..

INDIAai received numerous submissions for the Lab2Market 2023 project this year from institutions of higher education and research across the nation. After a comprehensive screening, six submissions were selected to present their solutions. Prof S Chandrasekhar, IFIM Business School, Bengaluru, Swati Jain, PhD, Vice President, Analytics at EXL, and Priyanjit Ghosh, CEO and Co-Founder of Logi.AI, were the jury member who reviewed the participants' presentations.

Here are the top three winners

Explainable AI decision model for ECG data of cardiac disorders

In this study, Dr Manu Kumar Shetty (MBBS, MD), Maulana Azad Medical College, Delhi, and Prof. Anubha Gupta, Indraprastha Institute of Information Technology, Delhi, implemented some deep neural networks for the detection of cardiac disorders. Results indicate that the model can highlight pertinent ECG wave alterations as clinicians require, making it diagnostically explicable. Furthermore, it demonstrates that their proposed model can be easily integrated with existing ECG machines, allowing doctors in primary and secondary healthcare centres to diagnose patients more quickly, accurately, and with proof, allowing for prompt referral to cardiology centres for further specialized treatment. Finally, implementing such models can assist on-call physicians in primary and secondary healthcare facilities where cardiologists may not be readily available.

Automated Government Form Filling for Aged and Monolingual People Using Interactive Tool

The students and faculties of R. V. College of Engineering in Bengaluru have implemented the "Dhvani" automaton, an interactive system that communicates with the user in Kannada, suggests suitable schemes and fills out the form in English. The implementation utilizes open-source software and can be deployed on any system. In addition, the team has introduced the Dhvani voice bot, which is constructed using the RASA chatbot framework and employs NLU to comprehend the user's speech. The proposed system autonomously populates government programme forms based on user input. It is designed for the Kannada language and can be extended to support other languages.

Team members: Dr Deepamala. N, Dr Shobha G, Adarsh R Hegde, Sujala Reddy R S, Pragathi B.C, Kruthika P, and Sreerama Sai Lahari - R. V. College of Engineering, Bengaluru.

Smart crop disease detection using AI Drones

Soumya Ranjan Prusty of IMIT, Cuttack, presented his research on detecting crop diseases using intelligent drones. This artificial intelligence drone is fitted with a deep learning system that, with the help of computer vision, can detect and monitor a variety of ailments. In addition, they can pinpoint the exact location of the disease and provide treatment recommendations for that ailment.

Team members: Soumya Ranjan Prusty (IMIT, Cuttack), Sonalee Panda (IMIT, Cuttack), and Phani Karnati (Vihave Innovation Pvt Limited).