Students develop AI solutions for document retrieval, healthcare and traffic management

Participants of the hackathon held at Software Technology Parks of India in Taramani on Thursday. | Photo credit: B. VELANKANNI RAJ

A group of students developed an innovative solution to simplify document retrieval at a hackathon organized by the Sustainable Living Lab (SL2) in collaboration with Intel India. The hackathon was held as part of Naan Mudhalvan program of Tamil Nadu Skill Development Corporation (TNSDC).

Priyanka M., a student at Jaya Institute of Technology, said, “Once a document is uploaded, our artificial intelligence (AI) automatically reads and understands the content. If it is a scanned document, OCR technology extracts the text. After extracting the information, the system indexes the document for instant retrieval in the future.” Her teammates included Naveen Pandian N, Yuvaraj S, Priyadharshini C. (all from Jaya Engineering College) and Keerthana M. from Jaya Institute of Technology.

A team called Non Fungible Minds has built and deployed an AI system that monitors live traffic cameras, predicts traffic jams before they happen and automatically adjusts signal timing – running entirely on edge hardware at junction level across Chennai’s busiest roads.

Another team, comprising Bhavana Shree J. and Ganesh K., both third-year students from Sriram Engineering College, came up with Nalam AI. It is an AI healthcare and disease prediction platform developed to support early detection and prevention of disease outbreaks.

By analyzing health, environmental and location data, it identifies disease risk patterns and potential hotspot areas. The platform provides symptom checking, health recommendations and outbreak monitoring to help citizens and health authorities alike.

Nalam AI aims to support preventive healthcare, improve public health awareness and enable faster, data-driven responses to emerging health issues in communities.

Published – 19 Jun 2026 0:39 IST