# google-gemini/nano-banana-hackathon-kit

🍌 The official starter kit for the Nano Banana Hackathon. Clone this repo to get building fast!

Repository: https://github.com/google-gemini/nano-banana-hackathon-kit
Canonical: https://ross.abutalabs.com/products/nano-banana-hackathon-kit
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2025-09-08T18:20:03+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 41, release rhythm 35, longevity 25
- inputs: {"age_days": 363, "days_push": 359, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1028, forks 173 (observed 2026-08-28T04:03:17.548563+00:00)

## What it is
The official starter kit for Google DeepMind's Nano Banana 48-hour hackathon, providing Jupyter notebook guides, code examples, and resources for building with the Gemini 2.5 Flash Image model. It helps developers quickly get an API key, learn image generation and editing techniques, and submit projects to the Kaggle competition.

## Use cases
- get started with the gemini image generation api
- learn how to edit images with natural language prompts
- build a hackathon project using nano banana
- find code examples for gemini 2.5 flash image
- generate consistent characters for comics or storytelling
- create virtual product visualization for e-commerce
- automate marketing asset generation with ai

## When to choose
- you are participating in the Nano Banana hackathon or Kaggle competition
- you want guided notebooks for getting started with Gemini image generation
- you need example code for image editing and generation with the Gemini API

## When to avoid
- you need a production-ready image generation library or service
- you use a non-Google image model or provider
- the hackathon timeframe has passed and you need long-term maintained tooling

## Facets
- artifact type: learning-resource
- maturity: active
- function: image-processing, machine-learning, sdk, developer-tools
- domain: artificial-intelligence, image-processing, tutorials, developer-tools
- platform: python, cross-platform
- tags: gemini-api, image-generation, hackathon, starter-kit, nano-banana, jupyter-notebooks, google-deepmind

## Member repositories
- google-gemini/nano-banana-hackathon-kit (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.548563+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:45.762499+00:00, confidence not recorded.
  - readme: https://github.com/google-gemini/nano-banana-hackathon-kit (fetched 2026-08-28T04:03:17.548563+00:00, sha d662e58ee5f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.