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Solvathon 2026 – Smart Med-Tech Ideas to Heal the Future

Keeping An AI On Every Truck: IIIT Hyderabad’s Smart Approach To Sand Mining Enforcement

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20 February 2026
A slew of innovative tech-based smart solutions emerged from Solvathon 2026, India’s premier HealthTech Innovation Challenge. With International Institute of Information Technology Hyderabad’s Center for Innovation and Entrepreneurship collaborating as innovation partner with Apollo Research and Innovations (ARI) and Transforming Healthcare with IT (THIT), the 3-day hackathon saw medical and tech-centric experts grapple with real-world healthcare challenges. Healthcare and specifically eldercare has raced to the top of the householder’s budgeting portfolio along with your child’s orthodontic treatment and university education, making it an issue that affects everyone, from cradle to grave. Thus, when stakeholders in medico-tech (students, researchers, startups, clinicians, and technologists) came together at Solvathon 2026 between January 30 – February 1 at HICC to dig deep and unravel real-world healthcare challenges, it was a timely response to an unfolding emergency.
When commercial number plate systems failed to handle India’s hand-painted truck plates, International Institute of Information Technology Hyderabad’s iHub-Data adapted lab research into Vahan Eye – a low-cost, field-deployed solution now monitoring sand transport in Telangana. ‘Truck art’ or the hand-painted ‘Horn Ok Please’, ‘Use Dipper at Night’ and the ‘Buri nazar waale tera mooh kala’ are an integral part of Indian highways. These artistic expressions which lighten up many a road journey also find an extension in hand painted registration plates. However, such unstandardised lettering can prove to be a challenge for automatic number plate recognition (ANPR) systems. Most commercial ANPR systems are designed for standardized license plates. ANPR systems play a crucial role in modern governance, helping authorities monitor traffic, enforce regulations, prevent illegal transport, and improve public safety. From toll booths to traffic violations, ANPR enables real-time vehicle tracking without manual checks.
Cancer is no longer seen as a single genetic error but as a complex, multi-layered disease shaped by DNA mutations, epigenetic changes and even patterns in medical images. New research at CCNSB at IIIT Hyderabad is bringing these layers together to move closer to early detection and truly personalised cancer care. A century ago, scientists believed cancer began with a single mistake in a cell. In 1914, the somatic mutation theory proposed that abnormalities in a cell’s DNA could trigger uncontrolled growth. Over time, this idea expanded. Researchers discovered oncogenes that drive cancer and tumour suppressor genes that normally prevent it. Later theories showed that cancer does not arise from rogue cells alone – the surrounding tissue environment, viruses, carcinogens, and cellular stress also play critical roles. “People have been talking about the origin of tumours since the early 1900s, but over time we realised that cancer cannot be explained by mutations alone. Today, cancer is understood as a multifactorial disease, shaped by genetics, gene regulation, environment and time,” observes Prof. Nita Parekh, Professor of Bioinformatics, IIIT-H.