WHATSAPP AI ASSISTANT WITH N8N (OR PABBLY) INTEGRATION

1.
Project Objective Develop an AI agent integrated with n8n (or pabbly), capable of interacting with the user via WhatsApp to.
- Receive and interpret voice messages.
- Respond with audio or text and, if needed, send documents in response to specific requests.
- Answer WhatsApp calls, interpret requests, and provide responses based on a knowledge base and online information.
- Schedule appointments if necessary.
### 2.
Key Features #### A.
WhatsApp Integration 1.
**Retrieving Audio Messages**.
- The agent should be able to receive voice messages on WhatsApp.
- n8n should be configured to store audio files temporarily so the agent can process them.
2.
**Handling Incoming Calls**.
- The agent should manage WhatsApp calls in real-time, using a prompt to identify the primary requests from the call.
- Use the knowledge base and the internet to provide in-depth responses if necessary.
3.
**Sending Responses**.
- The agent should be able to send audio, text, or relevant documents extracted from the knowledge base in response to specific requests.
4.
**Scheduling Appointments**.
- Integration with a calendar to schedule appointments.
- Automated interaction with the user to confirm or adjust the date and time.
#### B.
Knowledge Base Utilization 1.
**Reading and Interpreting Documents**.
- The agent should be able to read and interpret PDFs stored in an accessible directory.
- Documents should be indexed for quick access to relevant information.
2.
**Intelligent Search**.
- Implement a search engine to allow the agent to find and extract specific information based on user requests.
#### C.
Voice and Text Interpretation 1.
**Natural Language Processing (NLP)**.
- Convert audio to text for semantic analysis and understanding user intent.
- Generate text responses that can be converted into audio if the user prefers.
2.
**Speech Synthesis**.
- Convert text responses into voice messages if requested by the user.
#### D.
Internet Integration for Information Retrieval 1.
**Using External Sources**.
- The agent should be able to supplement the knowledge base information with online searches.
- Evaluate and integrate any necessary APIs into the n8n workflow.
### 3.
Technical Infrastructure and Architecture #### A.
Recommended Modules and Tools - **n8n**.
to orchestrate all workflows.
- **WhatsApp API**.
to interact with messages and calls.
- **Speech Recognition**.
use a speech recognition service, such as Whisper or Google Speech-to-Text.
- **Speech Synthesis**.
to respond in audio (e.
., Google Text-to-Speech).
- **Calendar Integration API**.
Google Calendar or Calendly for scheduling appointments.
#### B.
Security and Privacy - Ensure user data protection and GDPR compliance.
- Protect access to the knowledge base and documents.
### 4.
Expected Deliverables 1.
**Solution Architecture**.
Diagram of n8n workflows.
2.
**Scripts and Prompts**.
Set of prompts for handling calls and text requests.
3.
**Technical Documentation**.
Guide detailing functionality and maintenance.
4.
**Testing and Validation**.
Test scenarios to evaluate each feature.
### 5.
Skill Requirements The developer should.
- Have expertise with n8n and associated APIs (WhatsApp, Google Speech-to-Text, etc.).
- Experience in NLP and AI integration.
- Understand security requirements for handling personal data.
### 6.
Success Criteria - Reception and processing of audio messages with minimal delay.
- Accuracy in responses and understanding of requests.
- Flexibility in the knowledge base and adaptability to regular updates.
Focus on advanced NLP for accurate text conversion and understanding.
Real-time response handling is a high priority for this project.
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