title: Product Overview

aliases: [3netra Product, Mission]

tags: [3netra/wiki, product, personas]

product: 3netra Meta Android App

source_repository: 3Netra-ai/3n_meta_android

source_ref: origin/prod

source_revision: b48aada8fd5427b5db0c02945569963c4ae543c8

last_verified: 2026-08-06

**3netra** (Sanskrit for "third eye") gives blind and visually impaired higher education students (high school and college) real-time, hands-free audio awareness of their academic world: reading slides, whiteboards, and textbooks, narrating campus scenes, recognizing classmates and professors, detecting emotions — through ordinary-looking Meta Ray-Ban glasses.

~285M people worldwide live with visual impairment (39M blind). In higher education (high schools and universities), VI students can't read slides/whiteboards, miss non-verbal social cues, and struggle in dynamic lecture halls, labs, and campus grounds. Existing tools (canes, Braille, screen readers) don't provide real-time environmental awareness, and no product unifies text reading + scene understanding + emotion detection + face ID in one accessible wearable.

| Metric | Target |

|---|---|

| Scene description latency (capture→audio) | < 2 s |

| OCR accuracy | > 95% |

| Emotion detection accuracy | > 85% |

| Face recognition precision | > 90% |

| CSAT | > 4.5/5 |

| DAU/MAU | > 60% |

| Avg session length | > 15 min |

| Onboarding completion | > 80% |

19 y/o, college sophomore, congenital blindness, university campus. Can't read lecture slides/whiteboards clearly, misses who's speaking in seminars, struggles in crowded lecture halls and campus grounds. Wants: read slides, identify professors and classmates, navigate campus independently, follow presentation diagrams. Delight: 3netra identifies lab equipment — "I see a compound light microscope on your desk!"

17 y/o, high school senior preparing for college, low vision (light/shapes only). Reads handouts/textbooks, deciphers lab diagrams, reads instructor expressions, navigates the university library. Self-conscious about assistive tech — needs glasses that look normal.

38, University Disability Services Specialist / High School Accessibility Coordinator. Monitors usage, customizes vocabulary/persona, reviews academic summaries, ensures student-centered accessibility.

The reviewed Android module targets API 29–34 and initializes Meta Wearables DAT 0.7.0. It contains camera-capture and registration code, but no hardware run at this revision proves a supported glasses model, capture latency, gesture delivery, or speaker routing. Hardware specifications and product latency targets above are PRD/document claims, not verified release behavior.

The current Compose implementation still contains legacy K–6 labels and child-voice filtering. The higher-education positioning on this page is editorial/product direction; implementation alignment remains an open decision.

- **Glasses gestures:** `BluetoothService` has callable scene/read/long-press/emotion handlers, but the reviewed source does not register DAT gesture callbacks. The Home scene action invokes the single-tap handler directly; do not treat the gesture map as hardware-verified.

- **Voice:** `VoiceCommandService` can run Android speech recognition after `onLongPress`; no wake-word detector or verified glasses-mic path is present.

- **Phone UI:** big-tap-target Compose screens with 4-tab bottom nav. See [[03-Frontend-Navigation]].

FERPA/COPPA and privacy statements are requirements, not demonstrated compliance. The active enrollment/matching path reads and writes face embeddings through Supabase; the encrypted local utility is unreferenced. See [[08-Data-Model-Supabase]] and [[11-Security-Privacy-Compliance]].

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