Real-Time Sign Language Translation with MediaPipe, Flutter, and Gemini Nano
SignSpeak is a mobile application that enables real-time translation of American Sign Language (ASL) and custom hand gestures into natural English sentences using on-device machine learning. It leverages MediaPipe for hand landmark detection and Gemini Nano for on-device language processing, ensuring full offline functionality and user privacy. The app supports customizable vocabulary, allowing users to add new signs or phrases without retraining the model.
- ▪SignSpeak uses MediaPipe to detect 21 hand landmarks per hand, capturing detailed 3D hand poses for gesture recognition.
- ▪The app normalizes hand coordinates relative to the wrist and middle finger span to ensure consistent input regardless of hand position or distance from the camera.
- ▪Gemini Nano enables on-device natural language generation, allowing translation without internet connectivity or data transmission.
- ▪Feature extraction must precisely match between training and inference, including the use of Euclidean distance for normalization, to maintain model accuracy.
- ▪Users can customize the app’s vocabulary by adding new signs, names, or phrase shortcuts without requiring model retraining.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/noor_y/real-time-sign-language-translation-with-mediapipe-flutter-and-gemini-nano-21e9 |
| Publication time | Sat, 16 May 2026 17:15:14 +0000 |
| Retrieval time | 2026-05-16T17:40:19.014Z |
| Last seen | 2026-05-16T17:40:19.014Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | T71FhdZ5tKjA |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3924614) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } noor yadallee Posted on May 16 Real-Time Sign Language Translation with MediaPipe, Flutter, and Gemini Nano #machinelearning #gemini #mediapipe #flutter SignSpeak Real-Time Sign Language Translation with MediaPipe, Flutter, and Gemini Nano Build with AI - 2026 | Noor SignSpeak is a mobile application designed to bridge the communication gap for the Deaf and Hard-of-Hearing community.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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