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.

About the IndiaAI Hackathon on Mineral Targeting 

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. 

In alignment with these objectives, IndiaAI is partnering with the Geological Survey of India (GSI) under the Ministry of Mines. This collaboration is a strategic effort to leverage advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) for mineral prognostication using state-of-art techniques practiced globally including interpretation, modelling and integration of multi-parametric geoscience data with emerging technologies such as AI/ ML. The aim is to use geoscience data like geology, geophysics, geochemistry, remote sensing, borehole data, etc, to identify new target areas for mineral exploration, particularly concealed and deep-seated ore bodies.  

To further these ambitions, IndiaAI and GSI are launching the IndiaAI Hackathon on Mineral Targeting 2025. 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. It lays emphasis on locating concealed & deep-seated mineralised bodies with depth modelling and developing AI/ ML algorithms for data cleaning, integration, modeling, and validation. Further, it aims to facilitate the generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc.  

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 

1. 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.  
2. Emphasis on locating concealed & deep-seated mineralised bodies with depth modelling.  
3. Developing AI/ ML algorithms for data cleaning, integration, modeling, and validation. 
4. Generation of mineral predictive maps showing exploration targets visualised through maps, sections, etc. 

Major Milestones 

Stage 1- Registration and Submission of Solutions till 12th May 2025 

Stage 2- Evaluation Process and Presentations by shortlisted teams.  

Prizes and Incentives  

o First Prize: INR 10 Lakhs 

o Second Prize: INR 7 lakhs 

o Third Prize: INR 5 lakhs 

o Special Prize: INR 5 lakhs for All-Women Teams (if no women team in top 3) 

Submission Guidelines 

To participate, please download the IndiaAI Hackathon on Mineral Targeting for comprehensive submission guidelines.  

Datasets 

Participants may use any datasets to strengthen their solution. Additionally, participants are encouraged to utilise the following datasets provided by GSI on AIKosh:  

1. Multi-Layer Geological Map of Karnataka and Andhra Pradesh (25K Scale) 
2. Multi-Layer Geological Map of Karnataka and Andhra Pradesh (50K Scale) 
3. Geochronology Map of Karnataka and Andhra Pradesh 
4. Geomorphology Map of Karnataka and Andhra Pradesh 
5. Lineament Features of Karnataka and Andhra Pradesh 
6. Geochemical Data Points of Karnataka and Andhra Pradesh (National Geochemical Mapping (NGCM)) 
7. Aerogeophysical Magnetic Data of Karnataka and Andhra Pradesh 
8. Aerogeophysical Spectrometric Data of Karnataka and Andhra Pradesh 
9. Ground Gravity Data of Karnataka and Andhra Pradesh  
10. Mineral Exploration Blocks in Karnataka and Andhra Pradesh 
11. Mineral Maps from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Data – Karnataka and Andhra Pradesh 
12. Technical reports on mineral exploration of Karnataka and Andhra Pradesh 

Link to the Form 

To submit your application form, please follow this link: Application Form. To access the application form, you will be first directed to a sign-up page. Upon Logging in, you will be able to access the application form. For any queries related to the IndiaAI Hackathon on Mineral Targeting, reach out to the IndiaAI Application Development Initiative team at: 

Email: fellow3.gpai-india@meity.gov.in or sudheer.reddy@meity.gov.in 

Subject line: "Queries for IndiaAI Hackathon on Mineral Targeting - [Your Team's Name]" 

Last Date for Form Submission 

The last date for submitting your application form is 12th May 2025. Don't miss this opportunity to showcase your skills and contribute to India’s AI landscape!