dindin0497/SeeIt
dindin0497/SeeIt has 1,539 GitHub stars and 192 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-08 04:18 UTC. Last push 2025-09-18.
https://github.com/user-attachments/assets/c31b4838-6ffb-413a-a6cd-38d3aea3a1af
What you can do
- ⚡ Partial results (near word-by-word feel)
- 🎯 Candidate ranking (choose the best sign/video)
- ⚡ Real-time detection (CameraX + ML Kit/TFLite)
- 🔕 Debounced announcements (avoid spam)
Measured star growth
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- 0
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Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalSeeIt
Inclusive Android app with two core capabilities:
- ✋ ASL Mode – Speech → Text → ASL Video
- 👁️ Object Detection Mode – Camera → Detect → Speak
✋ 1. ASL Mode
What It Does
- 🎙️ Listens from mic → converts speech to text
- 🔤 Maps text to ASL signs
- ▶️ Fetches ASL videos from the web and plays them in-app
Why It Matters for the Deaf Community
- 🤟 Many Deaf and Hard of Hearing (HoH) individuals use ASL as their primary language, not written/spoken English.
- 🗣️ This feature bridges the gap by translating spoken words into sign language videos, enabling more natural understanding.
- 🧑🤝🧑 It promotes inclusion in everyday scenarios such as conversations, announcements, and meetings.
- 🌍 Designed with accessibility in mind: large buttons and high contrast.
Key Features
- ⚡ Partial results (near word-by-word feel)
- 🎯 Candidate ranking (choose the best sign/video)
Demo
https://github.com/user-attachments/assets/c31b4838-6ffb-413a-a6cd-38d3aea3a1af
👁️ 2. Object Detection Mode
What It Does
- 📷 Uses camera to detect objects in real time
- 🗣️ Speaks object names via Text-to-Speech (TTS)
- 🏷️ Optionally shows detected labels on screen
Why It Matters for People with Visual Impairments
- 👓 Helps users with eye problems or low vision identify objects in their surroundings.
- 🗣️ Provides audio feedback so users can hear what’s in front of them without needing to see it.
- 🧭 Improves independence by enabling safer navigation and better awareness of the environment.
- 🖼️ Optional on-screen labels can support users with partial vision, combining text with speech.
Key Features
- ⚡ Real-time detection (CameraX + ML Kit/TFLite)
- 🔕 Debounced announcements (avoid spam)
- 📊 Confidence threshold + label coalescing
- 📦 Works offline using local models
Demo
https://github.com/user-attachments/assets/88cdca3c-0b67-4257-b9bf-bb1751122672
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