
Schoolboy Uses AI to Predict Groundwater Availability, Wins National Award
What Happened?
A schoolboy from Surat, Dheyay Shah, has developed an AI-based system to predict groundwater availability, winning national recognition at vivo Ignite 2026. His project, JALAAKAR, stood out among thousands of entries.
Key points
- Dheyay Shah's project, JALAAKAR, estimates groundwater availability using borewell records and rainfall data.
- The project won the national title at vivo Ignite 2026, held on October 28, 2026.
- Shah's innovation reflects how students are applying classroom learning to real-world challenges.
- The competition received over 38,000 registrations and featured more than 6,100 ideas.
- Other notable projects included JalRakshak and HydroPlastiNet, addressing various social issues.
Key insights
- The success of JALAAKAR highlights the potential of AI in addressing environmental issues.
- Young innovators like Shah may inspire future generations to leverage technology for social good.
- The competition's scale indicates a growing interest in technology-driven solutions among students.
Why it matters
This innovation could help communities manage groundwater resources more effectively.
Entities
Source
India Today



