Smart WhatsApp Chatbot
Multimodal AI Assistant with Media Analysis Capabilities
Project Overview
A smart WhatsApp chatbot built to surpass the capabilities of standard Meta AI. This bot has advanced multimodal capabilities, allowing it to analyze and process various types of media directly within conversations.
This project was developed to address the limitations of conventional chatbots by integrating advanced AI models. The chatbot not only understands text but can also analyze image content, summarize videos, extract text from documents, and transcribe voice messages. Built with n8n for workflow orchestration, the bot can connect to various external services, making it a highly flexible tool for task automation, personal assistance, or even as a learning aid.
Technologies Used
Challenges
- Integrating various AI models for multimodal analysis (image, video, voice)
- Maintaining fast and interactive bot response times, especially when processing media
- Handling various file formats and potential errors during processing
- Managing conversation state to remain relevant and maintain context
Solutions
- Used n8n as an orchestration platform to connect the WhatsApp API with various AI services
- Leveraged Redis for caching and task queuing to ensure media processing does not block conversations
- Built robust error-handling logic for each media type uploaded
- Stored short conversation history in Redis to maintain conversation context
Project Gallery
Project Details
Client
Personal Project
Duration
1 Month
Year
2025
Category
Artificial Intelligence
Key Features
- Image Content Analysis (Image Recognition)
- Video Summarization and Analysis
- Text Extraction from Documents (PDF, Docx)
- Voice Message Transcription to Text
- Contextual Conversation Capabilities
- Automated Workflow Integration (via n8n)
- Multimodal Support (Text, Image, Voice, Document)
