핵심 요구사항
- 실시간 음성 질의응답 및 자연어 처리(NLP) 엔진 구현
- 리마인더/알람 설정 및 문맥 기반 후속 대화 처리
- 핸즈프리 통화·메시지 발송(Twilio 등) 연동
- 온디맨드 실시간 언어 번역
- 저지연·프라이버시 고려한 클라우드/온디바이스 아키텍처 설계
- 잡음·다양한 억양 환경에서 동작하는 음성 인식 정확도 확보
Required stack
필요 기술
PythonTensorFlowDialogflowTwilioSpeech RecognitionNLPReact NativeCloud APIs
Project brief
프로젝트 내용
we want you to built a phone assistance system for voice and chat and there are many features to build.
• Answering questions in real time
• Setting reminders and alarms with contextual follow-ups
• Making calls and sending messages hands-free
• Language translation on demand
and many many other features
Beyond those must-haves, I’m open to additional smart features you can suggest and implement as long as they blend seamlessly into the same voice interface.
The ideal workflow:
1. Architect the solution (cloud or on-device), outlining key tech such as Python, TensorFlow, Dialogflow, Twilio, or any stack you believe is best for low-latency, privacy-minded processing.
2. Deliver a functional demo—APK, iOS TestFlight build, or hardware prototype—that I can test on a standard smartphone.
3. Provide clean, documented source code and a short video/screenshare showing the assistant handling the four capabilities above.
I’ll give rapid feedback, iterate quickly, and sign off once the demo proves each feature works smoothly in everyday scenarios (normal room noise, varied accents). If you already have a modular voice-AI framework we can adapt, let me know—speed to prototype is a plus.
• Answering questions in real time
• Setting reminders and alarms with contextual follow-ups
• Making calls and sending messages hands-free
• Language translation on demand
and many many other features
Beyond those must-haves, I’m open to additional smart features you can suggest and implement as long as they blend seamlessly into the same voice interface.
The ideal workflow:
1. Architect the solution (cloud or on-device), outlining key tech such as Python, TensorFlow, Dialogflow, Twilio, or any stack you believe is best for low-latency, privacy-minded processing.
2. Deliver a functional demo—APK, iOS TestFlight build, or hardware prototype—that I can test on a standard smartphone.
3. Provide clean, documented source code and a short video/screenshare showing the assistant handling the four capabilities above.
I’ll give rapid feedback, iterate quickly, and sign off once the demo proves each feature works smoothly in everyday scenarios (normal room noise, varied accents). If you already have a modular voice-AI framework we can adapt, let me know—speed to prototype is a plus.
지원 기회 분석
지원 전에 볼 것
예상 산출물
- 테스트 가능한 데모 빌드(APK / iOS TestFlight / 하드웨어 프로토타입)
- 문서화된 클린 소스코드
- 4개 핵심 기능 시연 영상/스크린셰어
- 솔루션 아키텍처 설계 문서
매력 포인트
- 요구 기능 자체는 비교적 명확히 나열됨
- 기존 음성-AI 프레임워크 재활용 시 빠른 진행 가능
확인할 점
- 예산($250~750)이 요구 기능 범위에 비해 극단적으로 낮음
- 'many many other features' 등 범위가 무한정 확장되는 모호한 스펙
- 클라이언트 국가·프로필 정보 부재, 입찰 103건으로 저가 경쟁 유도
Client signal
클라이언트 정보
플랫폼에서 상세 정보를 확인하세요.