I need a twilio expert
Budget: $15 – $25 USD
Overview:
This project aims to build an AI-powered voicemail system using either Twilio or Asterisk. The system will utilize advanced technologies like voice recognition, text-to-speech, and intelligent call processing to enhance the voicemail experience for Restaurant Baguette.
Objectives:
1. To develop an interactive voicemail system with intelligent call routing and response capabilities.
2. Integration of voice recognition and text-to-speech technologies
3. To provide detailed documentation for system setup and troubleshooting.
Call Flow:
1. Call answered on Twilio DID (or Asterisk vm).
2. Play recording: “You’ve reached the smart voicemail of Restaurant Baguette, how can I help?”
3. Forward call to “Vocode” (https://github.com/vocodedev/vocode-python)
4. Set up Vocode with Deepgram's speech recognition engine.
5. Process calls with an LLM from OpenAI.
6. Use Azure's Text to Speech for voice synthesis.
7. Send call transcript via email or Slack webhook.
Skills Required:
- Experience with Twilio or Asterisk voicemail systems.
- Proficiency in implementing voice recognition and text-to-speech technologies.
- Knowledge in configuring and deploying open-source packages like Vocode.
- Ability to integrate APIs from Deepgram, OpenAI, and Azure.
- Strong capabilities in Linux server management and configuration.
- Expertise in scripting (e.g., bash) for automation of deployment processes.
Provided to You:
- Twilio account or Asterisk vm.
- API keys for all providers.
-A Linux server with a public IP for Vocode.
Deliverables:
- Twilio/Asterisk configuration documentation.
- Vocode configuration instructions.
- Deployment guide for Vocode.
- Troubleshooting guide for setup and operational issues.
- All files uploaded to a private GitHub repository.
Timeline and Budget:
The project is expected to be completed within 2 weeks.
This project aims to build an AI-powered voicemail system using either Twilio or Asterisk. The system will utilize advanced technologies like voice recognition, text-to-speech, and intelligent call processing to enhance the voicemail experience for Restaurant Baguette.
Objectives:
1. To develop an interactive voicemail system with intelligent call routing and response capabilities.
2. Integration of voice recognition and text-to-speech technologies
3. To provide detailed documentation for system setup and troubleshooting.
Call Flow:
1. Call answered on Twilio DID (or Asterisk vm).
2. Play recording: “You’ve reached the smart voicemail of Restaurant Baguette, how can I help?”
3. Forward call to “Vocode” (https://github.com/vocodedev/vocode-python)
4. Set up Vocode with Deepgram's speech recognition engine.
5. Process calls with an LLM from OpenAI.
6. Use Azure's Text to Speech for voice synthesis.
7. Send call transcript via email or Slack webhook.
Skills Required:
- Experience with Twilio or Asterisk voicemail systems.
- Proficiency in implementing voice recognition and text-to-speech technologies.
- Knowledge in configuring and deploying open-source packages like Vocode.
- Ability to integrate APIs from Deepgram, OpenAI, and Azure.
- Strong capabilities in Linux server management and configuration.
- Expertise in scripting (e.g., bash) for automation of deployment processes.
Provided to You:
- Twilio account or Asterisk vm.
- API keys for all providers.
-A Linux server with a public IP for Vocode.
Deliverables:
- Twilio/Asterisk configuration documentation.
- Vocode configuration instructions.
- Deployment guide for Vocode.
- Troubleshooting guide for setup and operational issues.
- All files uploaded to a private GitHub repository.
Timeline and Budget:
The project is expected to be completed within 2 weeks.