Everything you need to get building is here — API access, SDK quickstarts, protocol docs, and submission help. None of it is required; pick what's relevant to your track and skip the rest.

Google Gemini API

• Get your API key
• Gemini API documentation
• Gemini API Cookbook (examples)

Python Quickstarts

• Google Generative AI Python SDK — pip install google-generativeai
• LangChain + Gemini integration docs

MCP (Model Context Protocol)

• MCP Python SDK
• MCP Specification

viaSocket — AI-native workflow automation platform (Technology Partner). Use it as a no-backend-code way to wire your app to 2,000+ apps via webhooks — relevant to all three tracks, with track-specific integration ideas listed on the main hackathon page.

Three tracks, each with example builds meant to spark ideas, not constrain them:

• Learn Better — tools that turn raw content into actual learning (practice-question generators, plain-English error translators, flashcard makers, workshop-prep assistants)
• Ship Faster — killing manual developer chores (project scaffolders, auto test generators, MCP servers, notebook-to-blog pipelines, API doc generators)
• Daily Drivers — personal tools worth opening daily (resume tailors, expense trackers, invoice generators, content repurposers, bookmark managers)

Full track breakdowns with problem framing and viaSocket integration angles are on the main hackathon page.

• WhatsApp group (fastest for day-of questions): Pydata Indore WhatsApp Group
• Email (dietary needs, general queries): indore@pydata.org
• On-site mentors from the PyData Indore community throughout the build window (11:30 AM–4:00 PM)
• MLH Code of Conduct applies to the event: mlh.io/code-of-conduct

• Devpost submission guide
• Register on MLH
• Register on Meetup (backup if MLH link doesn't load)
• Event page / FAQ
• Venue on Google Maps