I recently worked on building an AI Voicebot that acts as a high-speed assistant, answering calls instantly, qualifying the caller’s needs, and providing information 24/7. This project involved integrating Exotel with an AI-powered backend running on AWS Mumbai.
The solution uses a combination of natural language processing (NLP) and machine learning algorithms to understand the caller’s needs and respond accordingly. The backend is built using a microservices architecture, allowing for scalability and reliability.
One of the key challenges we faced was ensuring seamless integration between the AI-powered backend and the Exotel API. We achieved this by using Webhooks to trigger actions in real-time.
Now, let’s take a look at the tech stack used in this project:
- n8n as the workflow automation tool
- Vector DBs for storing caller information
- Webhooks for real-time communication between services
Check out the code repository and learn more about the technical details of this project.
Category: Developer Log
Tags: #ShahiRaj #AIVoicebot #TechnicalDeepDive #n8n
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