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.g., 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.