The Indian Institute of Science (IISc), Bengaluru, successfully conducted its Smart India Hackathon (SIH) 2025 Internal Hackathon to identify, mentor, and nominate student teams for the national-level SIH competition. The first round, held on 24 September 2025, saw strong multidisciplinary participation across hardware and software domains.
After expert evaluation, 10 teams were shortlisted for their innovative, scalable, and real-world solutions spanning AI/ML, water conservation, smart agriculture, healthcare, quantum security, mobility, satellite data analytics, and assistive technologies. The initiative reflects IISc’s continued commitment to nurturing innovation and preparing students for impactful national challenges.
Through structured mentoring and expert jury evaluation, IISc ensured that teams were not only competition-ready but also aligned with scalable and impactful innovation outcomes.
This initiative reinforced IISc’s commitment to fostering collaboration, innovation, and solution-oriented thinking, empowering students to contribute meaningfully to national missions through Smart India Hackathon 2025.
Shortlisted Teams – SIH 2025 (Internal Hackathon)
- Data Bots – AI/ML for thermal IR imagery & satellite data error prediction
- Hydrosun – Grey water management & wetland conservation
- ISTians – Public transport tracking & solar-powered mining solutions
- Swayambhu – Water conservation & wastewater reuse systems
- Smart Roots – Smart agriculture for hilly regions & AR heritage platforms
- The Bhabha Bombers – AI conversational interfaces for ocean data visualization
- QTPies – Quantum-secure email client application
- HYDRA – Sustainable grey water reuse solutions
- NOVA – Image-based cattle breed and animal classification
- Anveshan – Smart blind stick for enhanced mobility and safety
SIH Grand Finale
Adding to this achievement, Team Databots from the shortlisted teams reached the Smart India Hackathon (SIH) 2025 Grand Finale. The team—Tekeshwar Hirwani, Sonakshi Dua, Sanu Kumar, Revanth Raj Eega, Shailja Sharma, and Tamaghna Mandal—worked on an ISRO problem statement (SIH25176) focused on developing AI/ML-based models to predict error patterns in satellite clock and ephemeris parameters.
This reflects the team’s strong technical capability and commitment to addressing high-impact challenges in India’s space-tech ecosystem.
