ParthJain18/fluent_flow
Flutter와 Python 백엔드를 사용하여 구축된 안드로이드 앱으로, 실시간 대화를 번역한 후 대화 기록과 로지스틱 회귀 모델을 활용하여 현재 대화에 응답 제안이 필요한지 여부를 판단합니다. 응답 제안이 필요할 경우 Google의 Gemini API를 사용하여 응답 제안을 생성합니다.
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- 최근 푸시(UTC)
- 2024. 5. 19.
- 프로젝트 상태
- 활성
Parth Jain ↗
기술 주제
사용 중인 의존성
의존성 목록 15 개
- flutter
{"sdk":"flutter"} - provider
any - cupertino_icons
^1.0.8 - http
^1.2.1 - shared_preferences
^2.2.3 - speech_to_text
^6.5.1 - permission_handler
^11.3.1 - flutter_sound
^9.4.6 - path_provider
^2.1.3 - html
any - camera
any - html_unescape
any - http_parser
any - flutter_test개발 의존성
{"sdk":"flutter"} - flutter_lints개발 의존성
^3.0.0
원본 README
아래는 영문 원문 스냅샷입니다. 최신 내용은 GitHub에서 확인하세요.
README 펼치기 / 접기
Fluent Flow
A language translation app built using Flutter and Python backend.
It translates live conversations from one language to another, then uses the history of the conversation and a logistic regression model to determine whether the current conversation needs any reply suggestions or not (Basically, we check if a LLM can be used to generate a reply suggestion or not, because if the conversation is personal, there is no need to generate any suggestions). If the conversation needs a generated reply, Google's Gemini API is used to generate possible reply suggestions.
The user can also generate a summary for the conversation if needed, and the app can be used to translate written text using the camera.
Screenshots
| Suggestions Example | Translation Example |
|---|---|
| WhatsApp Image 2024-04-04 at 23 44 28_7158d8e1 | WhatsApp Image 2024-04-04 at 23 46 53_f1590e79 |
| Summary Example | Camera Example |
| WhatsApp Image 2024-04-04 at 23 46 03_1f69797a | WhatsApp Image 2024-05-06 at 11 08 37_2264cdc5 |
| WhatsApp Image 2024-05-06 at 11 08 37_6bbe35da |
Flowchart
image