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moinuddin9777/bwai_bootcamp_h2s_2026_hyd

Analysis updated 2026-05-18

★ 13Audience · generalComplexity · 1/5Setup · easy

TLDR

Follow-up resources and a shared contribution log for a Google and Hack2Skill AI bootcamp held in Hyderabad.

Mindmap

mindmap
  root((repo))
    What it does
      Bootcamp follow up
      Curated resource links
    Tech stack
      JSON
      Markdown
    Use cases
      Learn after workshop
      Share learnings
    Audience
      Bootcamp attendees
      AI beginners

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Find curated links to Google AI Studio and Google Antigravity documentation after attending the workshop.

USE CASE 2

Add your own learnings to the shared community file via a pull request.

USE CASE 3

Browse what other attendees built during the bootcamp.

What is it built with?

JSONMarkdown

How does it compare?

moinuddin9777/bwai_bootcamp_h2s_2026_hyd09catho/axon0x1-1/revival
Stars131313
Language—JavaScriptC++
Setup difficultyeasymoderatehard
Complexity1/54/55/5
Audiencegeneralresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
No license is provided in this repository.

In plain English

This repository is the companion material for an in-person workshop called Build with AI, co-hosted by Google for Developers and Hack2Skill in Hyderabad. Rather than being a software tool, it works as a follow-up resource page for people who attended the session, covering topics such as Google AI Studio for prototyping prompts, Google Antigravity as an AI-native development environment, and cloud-based agentic AI tools for deployment. The main content is a resources file that links out to official Google documentation, hands-on Google Codelabs, and technical videos from Google I/O and related events, meant to help attendees keep learning after the workshop ends. There is also a JSON file where attendees are invited to add their own name, GitHub username, and a short note about what they built or learned during the session, turning the repository into a small shared record of the event. Contributing works through the usual GitHub flow: forking the repository, editing the JSON file to add an entry in the format the README specifies, then committing and opening a pull request back to the main repository, where organizers review and merge submissions. Because this is workshop follow-up material rather than a runnable application, there is no installation process, no dependencies, and no license file included. It is best understood as a community memory book and curated set of links tied to a specific event date, useful mainly to people who attended the Build with AI Bootcamp session or are looking for a similar set of Google AI learning resources.

Copy-paste prompts

Prompt 1
Summarize the resources.md file into a short list of things to learn next.
Prompt 2
Help me format my entry correctly for your_learnings.json before I submit a pull request.
Prompt 3
Explain the difference between Google AI Studio and Google Antigravity based on this README.

Frequently asked questions

What is bwai_bootcamp_h2s_2026_hyd?

Follow-up resources and a shared contribution log for a Google and Hack2Skill AI bootcamp held in Hyderabad.

What license does bwai_bootcamp_h2s_2026_hyd use?

No license is provided in this repository.

How hard is bwai_bootcamp_h2s_2026_hyd to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is bwai_bootcamp_h2s_2026_hyd for?

Mainly general.

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