Applications are invited for the AI for Mineral Targeting-IndiaAI Hackathon on Mineral Discovery. Apply by May 12
About the IndiaAI Hackathon on Mineral Targeting
IndiaAI invites innovators, researchers, and entrepreneurs to be part of the IndiaAI Hackathon on Mineral Targeting under the IndiaAI Application Development Initiative (IADI).
The initiative aims to enable the 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.
IndiaAI, an Independent Business Division (IBD) under the Digital India Corporation (DIC) of the Ministry of Electronics and IT (MeitY), serves as the implementation agency of the IndiaAI Mission. This mission aims to democratize the benefits of artificial intelligence across all strata of society, bolster India’s global leadership in AI, foster technological self-reliance, and ensure the ethical and responsible use of AI.
As part of this mission, the IndiaAI Application Development Initiative (IADI) is dedicated to promoting the development, deployment, and adoption of AI applications in critical sectors that have the potential to catalyze large-scale socio-economic transformation.
Participants will have the opportunity to design and implement sophisticated AI models that can significantly enhance the effectiveness of critical mineral exploration. This hackathon is not just a competition; it’s a platform for collaboration, learning, and innovation in one of the most critical areas of technology today.
Key Information
Theme
- 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 concealed & deep-seated mineralised bodies with depth modelling.
- Developing AI/ ML algorithms for data cleaning, integration, modeling, and validation.
- Generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc.
Prizes and Incentives
- First Prize: INR 10 Lakhs
- Second Prize: INR 7 lakhs
- Third Prize: INR 5 lakhs
- Special Prize: INR 5 lakhs for All-Women Teams (if no women team in top 3)
Datasets
Participants may use any datasets to strengthen their solution. Additionally, participants are encouraged to utilise the following datasets provided by GSI on AIKosh:
- Multi-Layer Geological Map of Karnataka and Andhra Pradesh (25K Scale)
- Multi-Layer Geological Map of Karnataka and Andhra Pradesh (50K Scale)
- Geochronology Map of Karnataka and Andhra Pradesh
- Geomorphology Map of Karnataka and Andhra Pradesh
- Lineament Features of Karnataka and Andhra Pradesh
- Geochemical Data Points of Karnataka and Andhra Pradesh (National Geochemical Mapping (NGCM))
- Aerogeophysical Magnetic Data of Karnataka and Andhra Pradesh
- Aerogeophysical Spectrometric Data of Karnataka and Andhra Pradesh
- Ground Gravity Data of Karnataka and Andhra Pradesh
- Mineral Exploration Blocks in Karnataka and Andhra Pradesh
- Mineral Maps from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Data – Karnataka and Andhra Pradesh
- Technical reports on mineral exploration of Karnataka and Andhra Pradesh
Deadline
May 12 2025.
How to Apply?
Click on the Link to apply.
