Bharat in Betastartup field guide
← Back to the atlas
No. 1297Opportunity areaEnergy and environment

Low-Cost Deployable Seafloor Metal Detection Sensor for Ocean Resource Exploration

Source

Source topic

The source proposes a low-cost ocean-bottom sensor released from research vessels to detect and map metal-rich seabed deposits, including polymetallic nodules, sulphides, cobalt-rich crusts and rare-earth-bearing sediments. The capture defines an exploration objective, not a verified sensing method, reserve estimate or permission for extraction.

No. 1177Problem statementEnergy and environment

SolarQuest: Innovate to Capture More Sunlight and Boost Energy

Design a solar-tracker controller beginning with a location-specific, single-axis simulation of panel positioning. The proposed workflow includes a motor model, PID control, an axis-positioning algorithm and simulation validation using tools such as Simscape and Simulink. After validation, demonstrate the controller on inexpensive hardware such as Arduino. The source provides MathWorks learning references and a route to request the required event software licences.

No. 1298Opportunity areaEnergy and environment

Autonomous Low-Cost Ocean Observation Platform for Polar and Southern Oceans

The challenge asks for an indigenous, low-cost autonomous ocean-observation platform for long deployments in harsh polar and Southern Ocean conditions. It should measure oceanographic and atmospheric variables; the short capture does not enumerate sensors, endurance targets or validation conditions.

No. 1180Problem statementEnergy and environment

Downscaling of Satellite based air quality map using AI/ML

Develop an AI/ML model using existing Python libraries to derive fine-resolution NO2 air-quality maps from coarse satellite observations. Handle large datasets and cloud-related gaps, choose and fit a suitable model, and validate predictions with unseen independent data. Intended users are researchers and government bodies assessing local air quality.