# amitshekhariitbhu/AndroidTensorFlowMachineLearningExample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Repository: https://github.com/amitshekhariitbhu/AndroidTensorFlowMachineLearningExample
Canonical: https://ross.abutalabs.com/products/androidtensorflowmachinelearningexample
Homepage: https://outcomeschool.com
Language: Java
License: Apache-2.0
License Family: permissive
Topics: tensorflow, tensorflow-tutorials, tensorflow-android, machine-learning, machine-learning-android, tensorflow-models, tensorflow-examples, deep-learning, deep-neural-networks, deeplearning, deep-learning-tutorial
Last push: 2025-05-02T03:41:52+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 19, release rhythm 35, longevity 100
- inputs: {"age_days": 3467, "days_push": 488, "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 1441, forks 423 (observed 2026-08-28T04:04:44.341896+00:00)

## What it is
An example Android project demonstrating how to build TensorFlow (native .so and jar) for Android and run object detection on camera images. It serves as a tutorial/reference for integrating classic TensorFlow into Android apps.

## Use cases
- integrate tensorflow into an android app
- run object detection on android camera images
- build tensorflow .so and jar for android
- learn machine learning on android
- example of tensorflow android classifier
- android deep learning sample project

## When to choose
- you want a hands-on example of classic TensorFlow on Android
- you need to learn building TensorFlow native libraries for Android
- you want a simple object detection demo on Android

## When to avoid
- you need TensorFlow Lite, which is the modern Android approach
- you need a production-ready ML library rather than a demo
- you need up-to-date TensorFlow APIs

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: machine-learning, mobile-development, computer-vision, tutorials
- platform: jvm
- tags: tensorflow, tensorflow-android, object-detection, example-project, sample-app, android, mobile

## Member repositories
- amitshekhariitbhu/AndroidTensorFlowMachineLearningExample (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.341896+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 2026-08-30T04:36:27.416040+00:00, confidence not recorded.
  - readme: https://github.com/amitshekhariitbhu/AndroidTensorFlowMachineLearningExample (fetched 2026-08-28T04:04:44.341896+00:00, sha ab754f6f035c)
  - homepage: https://outcomeschool.com (fetched 2026-08-29T11:46:43.212163+00:00, sha 344ea69a9a71)
  - site_page: https://outcomeschool.com/blog/what-is-loop-engineering (fetched 2026-08-29T11:46:43.226314+00:00, sha 3af5d8d628d2)
  - site_page: https://outcomeschool.com/blog/how-does-prefix-tuning-work (fetched 2026-08-29T11:46:43.219533+00:00, sha b5cb8764deec)
  - site_page: https://outcomeschool.com/blog/what-is-graph-engineering (fetched 2026-08-29T11:46:43.222387+00:00, sha 80a5eefbbe16)
  - site_page: https://outcomeschool.com/blog/how-do-rnns-and-transformers-differ (fetched 2026-08-29T11:46:43.215337+00:00, sha f6c17c283bdb)
  - site_page: https://outcomeschool.com/blog/ai-is-only-as-good-as-our-definition-of-done (fetched 2026-08-29T11:46:43.217559+00:00, sha e704f054ffb2)
  - site_page: https://outcomeschool.com/blog/lost-in-the-middle-problem-in-llms (fetched 2026-08-29T11:46:43.229220+00:00, sha 40ebad87fb6f)
- Data as of 2026-08-30T08:39:29.467469+00:00.