# dindin0497/SeeIt

Repository: https://github.com/dindin0497/SeeIt
Canonical: https://ross.abutalabs.com/products/seeit
Language: Java
License Family: other
Last push: 2025-09-18T03:31:08+00:00

## Health v2 (maintenance only)
Score: 41/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 42, release rhythm 35, longevity 48
- inputs: {"age_days": 673, "days_push": 349, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1540, forks 192 (observed 2026-08-28T04:05:00.470754+00:00)

## What it is
SeeIt is an inclusive Android app with two accessibility modes: one that converts spoken speech into text and plays corresponding ASL (American Sign Language) videos, and another that uses the camera to detect objects in real time and speak their names via text-to-speech. It targets Deaf/HoH users and people with visual impairments, working offline with local ML models.

## Use cases
- translate spoken words into ASL sign language videos
- help a deaf user follow conversations in real time
- speak out loud the objects detected by the phone camera
- assist a low-vision user in identifying surroundings
- run object detection offline on an Android phone
- accessibility tool with large buttons and high contrast UI

## When to choose
- you need an Android accessibility app combining speech-to-ASL-video and camera object detection with TTS
- you want offline object detection using ML Kit or TFLite on-device models
- you need an open-source assistive tool for Deaf or visually impaired users

## When to avoid
- you need iOS or desktop support
- you need two-way sign language recognition (sign-to-text)
- you require a mature project with a defined license and long-term maintenance guarantees

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, tts, computer-vision, accessibility
- domain: accessibility, mobile-development, computer-vision, speech-processing
- platform: -
- tags: asl, sign-language, deaf-accessibility, visual-impairment, offline-models, camerax, ml-kit, tflite, android, mobile

## Member repositories
- dindin0497/SeeIt (main) score 41

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.470754+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 2026-08-30T04:30:50.536484+00:00, confidence not recorded.
  - readme: https://github.com/dindin0497/SeeIt (fetched 2026-08-28T04:05:00.470754+00:00, sha 9bc6965d2c55)
- Data as of 2026-08-30T08:39:29.467469+00:00.