Researchers from the International Institute of Information Technology (IIIT)–Hyderabad have developed a virtual traffic cop -VIOLA, an AI-powered traffic violation detection system that uses low-cost dash cams installed in police patrol vehicles. The technology deployed with the Telangana Police reported that nearly 96 per cent of the violations submitted by the AI are accurate. Presently, traffic enforcement depends on CCTV cameras and hand-held cameras with traffic police personnel. These cameras are expensive to install and maintain and limited to fixed locations. Further, drivers know where the cameras are and where they are not. In addition, the Automatic Number Plate Recognition (ANPR) technology currently being used is unable to catch all violations automatically without humans in the loop. The AI model analysed footage to detect helmet violations, triple riding, wrong-side driving and other offences.

The International Institute of Information Technology Hyderabad (IIIT-H) is hosting the Software Engineering Research in India (SERI) 2026 from July 16–18, 2026, bringing together faculty members, researchers, students, and industry practitioners from across the country to discuss the latest advances in software engineering research and practice. The program begins today at IIIT Hydera bad campus in Gachibowli. SERI 2026 is an annual update meet focuses on software development, programming languages, and testing agentic AI systems. SERI is an annual community-driven forum that provides a platform for researchers to present ongoing work, exchange ideas on emerging directions in software engineering, and strengthen collaboration between academia and industry. This year’s edition has received over 200 registrations and features a packed three-day programme.

Christian Medical College (CMC), Vellore and IIIT Hyderabad’s Language Technologies Research Centre (LTRC) have developed BandhuCare, a multi-lingual AI-powered patient engagement platform designed specifically for cancer care. Unlike consumer AI assistants, BandhuCare, instead of trawling through the internet, answers questions only from information carefully curated and verified by clinicians. While CMC provided domain expertise and anonymised medical data, IIIT-H developed machine translation technologies that could be refined using continuous feedback from clinicians. The project, supported by the National Cancer Grid and Ministry of Electronics and Information Technology of India – MeitY’s India AI initiative, has reached Technology Readiness Level 5, with ethics approvals in place for clinical pilot studies involving patients.