IndiaAI & GSI Launch Hackathon to Advance AI-driven Mineral Targeting

19 Mar 2025 CW Team

The initiative is aimed at leveraging AI and ML technologies to enhance mineral discovery and geological analysis. Participants will use multi-parametric geoscience datasets, including geology, geophysics, geochemistry, remote sensing, and borehole data, to identify concealed and deep-seated ore bodies. The hackathon aims to:

Identification of new potential areas for exploration of critical minerals like REE, Ni-PGE, and copper, as well as other commodities like diamond, iron, manganese, and gold within a pre- defined 39,000 sq. km area in the states of Karnataka and Andhra Pradesh, India.
Emphasis on locating unrevealed & deep-seated mineralised bodies with depth modelling.
Developing AI/ ML algorithms for data cleaning, integration, modelling, and validation.
Generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc.

Exciting prizes for Hackathon Winners:

The hackathon is open to Startups & Companies; Academic & Research Institutions; Autonomous bodies, including public sector organisations; students or researchers associated with educational institutions, or working professionals can participate in their individual capacity or as teams. The prize money for the hackathon is as follows.

First Prize: Rs 1 million
Second Prize: Rs 0.7 million
Third Prize: Rs 0.5 million
Special Prize of Rs 0.5 million for All-Women Teams (if no women team in top 3)

This initiative aligns with the Government of India’s vision of leveraging AI for inclusive growth and responsible development of AI. For more details and to apply, visit https://indiaai.gov.in/article/ai-for-mineral-targeting-join-the-indiaai-hackathon-on-mineral-discovery. The last date for submission is May 12, 2025.

Significance of the Hackathon

This initiative aligns with IndiaAI’s mission to democratize AI adoption in critical sectors, fostering technological self-reliance and responsible use of AI. By applying AI to mineral targeting, the government aims to improve discovery, efficiency and strengthen India’s mining sector while ensuring sustainable mineral exploration.

News source: PIB

In a groundbreaking move to modernize mineral targeting in India, IndiaAI, an Independent Business Division (IBD) under Digital India Corporation (DIC), Ministry of Electronics & IT (MeitY), in collaboration with the Geological Survey of India (GSI), Ministry of Mines, has launched the IndiaAI Hackathon on Mineral Targeting. The initiative is aimed at leveraging AI and ML technologies to enhance mineral discovery and geological analysis. Participants will use multi-parametric geoscience datasets, including geology, geophysics, geochemistry, remote sensing, and borehole data, to identify concealed and deep-seated ore bodies. The hackathon aims to: Identification of new potential areas for exploration of critical minerals like REE, Ni-PGE, and copper, as well as other commodities like diamond, iron, manganese, and gold within a pre- defined 39,000 sq. km area in the states of Karnataka and Andhra Pradesh, India. Emphasis on locating unrevealed & deep-seated mineralised bodies with depth modelling. Developing AI/ ML algorithms for data cleaning, integration, modelling, and validation. Generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc. Exciting prizes for Hackathon Winners: The hackathon is open to Startups & Companies; Academic & Research Institutions; Autonomous bodies, including public sector organisations; students or researchers associated with educational institutions, or working professionals can participate in their individual capacity or as teams. The prize money for the hackathon is as follows. First Prize: Rs 1 million Second Prize: Rs 0.7 million Third Prize: Rs 0.5 million Special Prize of Rs 0.5 million for All-Women Teams (if no women team in top 3) This initiative aligns with the Government of India’s vision of leveraging AI for inclusive growth and responsible development of AI. For more details and to apply, visit https://indiaai.gov.in/article/ai-for-mineral-targeting-join-the-indiaai-hackathon-on-mineral-discovery. The last date for submission is May 12, 2025. Significance of the Hackathon This initiative aligns with IndiaAI’s mission to democratize AI adoption in critical sectors, fostering technological self-reliance and responsible use of AI. By applying AI to mineral targeting, the government aims to improve discovery, efficiency and strengthen India’s mining sector while ensuring sustainable mineral exploration. News source: PIB

Real Estate

09 Mar 2026

Hindware Introduces Starc Smart Wall Mount Toilet

Hindware has introduced the Starc Smart Wall-Mount Toilet under its Hindware Italian Collection, designed to combine automation, hygiene and contemporary bathroom aesthetics. The model features automatic flushing, sensor-based seat opening and closing, and remote-controlled functions. It also includes an oscillating water spray and warm air dryer for cleaning, along with a self-cleaning nozzle designed to maintain hygiene. Additional features include adjustable heated seating, customisable water temperature and pressure settings, a foot-touch flush system and an LCD control interface. The wa..

Equipment

09 Mar 2026

Company showcases North America-certified machinery and secures new deals

Zoomlion Heavy Industry Science & Technology Co., recently showcased a wide portfolio of North America-certified and customised construction equipment at CONEXPO-CON/AGG 2026 in Las Vegas. The display included engineering hoisting machinery, concrete equipment, earthmoving machinery, mining equipment and construction hoisting solutions tailored to regional operational requirements.All equipment presented at the exhibition complies with North American certification standards, with several models specifically developed to meet local regulatory requirements and site conditions. One of the hig..

Technology

09 Mar 2026

Sinoboom Launches Dual-ETM Smart Technology

Sinoboom recently introduced its Dual-ETM Smart Technology at CONEXPO-CON/AGG 2026, designed to enhance battery endurance and operational efficiency in electric boom lifts.The new technology integrates advanced components that enable real-time optimisation of power usage during equipment operation. By calculating the precise power requirement instantly, the system delivers only the energy needed for each movement, reducing the inefficiencies associated with conventional maximum-demand power systems.The solution incorporates multiple sensors—including pressure, weight, length and level sensor..