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Registration Starts From

Sat Jan 03 2026

AI for All Challenge

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AI for All – India’s Open Data & AI-Readiness Challenge view more...

online Hackathon 2 - 5 Team Members View full Schedule

Registration Starts From

Sat Jan 03 2026

AI for All Challenge

AI for All Challenge

AI for All – India’s Open Data & AI-Readiness Challenge


Registration Starts From

3 Jan 2026


Online | online Hackathon 2 - 5 Team Members View full Schedule


About

AI for All – India’s Open Data & AI-Readiness Challenge AI for All is a nationwide online hackathon by Factly in collaboration with Meta, aimed at identifying innovative, open-source solutions that make India’s datasets and digital resources ready for responsible AI use—bridging data, tools, and inclusion. The hackathon invites students, AI startups, researchers, and civic-tech innovators to build solutions across data readiness, Indic language enablement, public data extraction, and AI for social impact. Shortlisted teams will receive mentorship and present their work to an expert jury. All final solutions will be released as open-source and linked to AIKosh, ensuring long-term public value and reuse.


Detailed Themes & Focus Areas

AI for Social Impact

Low-code or no-code workflows leveraging open data to build solutions for health, environment, education, or MSME growth, demonstrating AI’s societal value.

Data Readiness & Standardisation:

Tools for automated cleaning, metadata extraction, schema harmonisation, and interoperability of public datasets to make them AI-ready and reusable across domains.

Indic Language Enablement

Models and tools for multilingual text, speech, and image extraction, transliteration, synthetic data creation and translation that expand access to AI in India’s diverse linguistic ecosystem

Public Data Extraction & Structuring

Automated pipelines for extracting, cleaning, and classifying information (tables, charts, text) from PDFs, reports, and archives to make government and institutional data AI-ready

AI for Social Impact

Low-code or no-code workflows leveraging open data to build solutions for health, environment, education, or MSME growth, demonstrating AI’s societal value.

Data Readiness & Standardisation:

Tools for automated cleaning, metadata extraction, schema harmonisation, and interoperability of public datasets to make them AI-ready and reusable across domains.

Indic Language Enablement

Models and tools for multilingual text, speech, and image extraction, transliteration, synthetic data creation and translation that expand access to AI in India’s diverse linguistic ecosystem

Public Data Extraction & Structuring

Automated pipelines for extracting, cleaning, and classifying information (tables, charts, text) from PDFs, reports, and archives to make government and institutional data AI-ready


Schedule

3 Jan 2026
00:00
Registrations Open
Fri Jan 23 2026
00:00
Last Date for First Round Submissions

Deadline to submit open-source project proposals with clear data sources, licensing, and public reuse plans.

Mon Feb 02 2026
17:00
Results of Round 1 (Top-10 Shortlist)

Announcement of the top 10 open-source projects shortlisted for mentorship and final evaluation.

Tue Feb 03 2026
17:00
Mentorship Phase

Shortlisted teams are assigned mentors Check-ins and feedback sessions on technical feasibility and social impact. Teams refine prototypes and documentation.

Thu Feb 12 2026
11:00
Finale (Online Presentation)

Final submissions close (prototype, demo video, and presentation deck). Jury evaluation based on innovation, usability, scalability, openness, and impact. Top 3 teams shortlisted for the Finale.

Tue Feb 24 2026
11:00
Declaration of Results

Winners announced and Winning teams announced and prizes awarded.


Rewards and benefits

INR 1,00,000 & Opportunity for integration into AIKosh.

Winners

INR 75,000 & Mentorship with Factly to refine the prototype.

1st RunnerUp

INR 50,000 & Open-source release + visibility through the community.

2nd RunnerUp

Special Mentions & Certificates for the top-10 shortlisted entries

Consolation

INR 1,00,000 & Opportunity for integration into AIKosh.

Winners

INR 75,000 & Mentorship with Factly to refine the prototype.

1st RunnerUp

INR 50,000 & Open-source release + visibility through the community.

2nd RunnerUp

Special Mentions & Certificates for the top-10 shortlisted entries

Consolation


Partners

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