ISRO Launches Bharatiya Antariksh Hackathon 2025: No Fees, National Exposure & Internships!

Overview

The Bharatiya Antariksh Hackathon 2025 (BAH 2025) is a premier nationwide innovation challenge initiated by the Indian Space Research Organisation (ISRO) in collaboration with Hack2Skill. Following the success of its first edition, the second edition was launched on June 18, 2025, with a vision to encourage young minds in addressing critical challenges in space research through technology and innovation. The event will culminate in a 30-hour Grand Finale to be held on 7th and 8th August 2025 at NRSC, JD Metla Campus, Hyderabad.

Key Highlights

• Organized By: Indian Space Research Organisation (ISRO)
• Innovation Partner: Hack2Skill
• Finale Dates: 7th & 8th August 2025
• Proposal Submission Deadline: 7th July 2025 (Tentative, based on countdown)
• No Registration Fees
• Participation Mode: Team (3 to 4 members)

Eligibility Criteria

Participation is open to students from across India who meet the following criteria:

• Undergraduate Students (Bachelor’s degree ongoing)
• Postgraduate Students (Master’s degree ongoing)
• PhD Students / Research Scholars
• Team Size: 3 to 4 members
• Note: Working professionals and non-students are not eligible.

Participants can belong to different institutions but must form a team within the allowed size limit.

Why Participate?

• Mentorship from ISRO Scientists: Direct guidance from domain experts and researchers.
• Internship Opportunities at ISRO: Top performers may secure internships on real space research projects.
• National-Level Recognition: Stand out among India’s most innovative young minds.
• Networking: Collaborate with students, researchers, and professionals from diverse technical backgrounds.
• Hands-on Exposure: Tackle real-world space challenges that may contribute to India’s future missions.

How to Apply?

Follow these steps to register and submit your solution:

1. Registration:
   Visit the official: https://www.isro.gov.in/Launching_Bharatiya_Antariksh_Hackathon2025.html
2. Go to the hackathon portal to Register yourself: https://vision.hack2skill.com/event/bah2025
3. Team Formation:
   Collaborate with 2–3 other students. Teams must consist of 3 to 4 members.
4. Select a Challenge:
   Choose a problem statement from the 14 challenges provided by ISRO in areas such as AI/ML, Space Science, Geospatial Analysis, etc.
5. Innovate:
   Design, build, and iterate your proposed solution.
6. Submit Proposal:
   Submit your idea with proper documentation before the deadline.
7. Shortlisting:
   140 teams will be shortlisted in the first screening based on ideation and technical approach.
8. Second Level Screening:
   30 best teams will be selected to participate in the final hackathon event in Hyderabad.

How to Fill the Proposal Form

• Register and log in to the platform.
• Enter team details including members’ names, emails, and academic institutions.
• Select your preferred challenge statement.
• Upload your ideation document (PDF format) with the following details:
  • Problem understanding
  • Proposed solution
  • Technology stack
  • Feasibility and scalability
  • Team contribution plan
• Review all details and submit the form.

Challenges

Tackle real-world problems in space tech, AI/ML, and geospatial science. Choose from 14 cutting-edge challenges designed by ISRO:

1. Forest Fire Spread Simulation
Use AI/ML techniques to model and simulate the dynamic behavior of forest fires for early detection and disaster response.

2. AI-Based Help Bot
Develop an intelligent help assistant for dynamic information retrieval using a knowledge graph from static/dynamic web content.

3. Satellite-based Air Pollution Monitoring
Integrate satellite observations, ground data, reanalysis datasets, and AI/ML to monitor and analyze air quality trends.

4. LLM for Spatial Intelligence
Design a chain-of-thought based Large Language Model (LLM) system to automate complex geospatial analyses.

5. Cloud Motion Prediction
Apply diffusion models on INSAT-3DR/3DS imagery to predict cloud movements with precision.

6. Automated Feature & Change Detection
Use AI/ML to detect changes in glacial lakes, roadways, and drainage systems via multi-source satellite imagery.

7. Air Quality Visualizer & Forecasting App
Build an application providing granular, real-time, and predictive air quality insights for underserved regions.

8. Deep Learning Optimization in EO
Propose novel methods to handle imbalanced datasets in Earth Observation for improving deep learning outcomes.

9. Tropical Cloud Cluster Identification
Develop an ML algorithm to detect and classify tropical cloud formations using half-hourly INSAT satellite data.

10. Halo CME Detection with Aditya-L1
Identify Coronal Mass Ejection (CME) events using particle data from the SWIS-ASPEX payload aboard Aditya-L1.

11. Lunar Landslide & Boulder Detection
Create a technique to detect landslides and boulders on the Moon using imagery from Chandrayaan missions.

12. Satellite Image Super Resolution
Enhance optical satellite imagery resolution using dual-image super-resolution and blind evaluation methods.

13. Lunar DEM Generation
Generate high-resolution Digital Elevation Models (DEMs) of the lunar surface using Shape-from-Shading techniques.

14. Change Detection & Alert System
Develop a robust multi-temporal analysis system using LISS-4 imagery for user-defined areas of interest (AOI).

Hackathon Timeline

• Launch Date: 18 June 2025
• Proposal Submission Deadline: 7 July 2025 (estimated based on countdown timer)
• Announcement of Shortlisted Teams: Mid-July 2025
• Grand Finale: 7–8 August 2025 at NRSC, Hyderabad

Rewards and Benefits

• Top Team Recognition by ISRO
• Internship Opportunities at ISRO Centers
• Mentorship from Scientists and Engineers
• Showcasing at National Platforms
• Certification for All Finalists

Important Links

• Official Registration & Submission Portal:
  https://vision.hack2skill.com/event/bah2025
• Discord Server (For Updates & Communication):
  Click here to join
• Email for Queries:
  isrobah2025support@hack2skill.com