What I Built

I have created a GalaxyBot, an informative WhatsApp chatbot that delivers detailed information about stars and galaxies. The bot uses Laravel for the backend, Twilio for WhatsApp messaging, and Cloudflare's AI for generating responses.

User Interaction and processing: Users send the bot queries about stars and galaxies.

AI Integration: The bot passes the query to Cloudflare's AI model, which returns detailed information about the star or galaxy.

Response Delivery: GalaxyBot sends the information back to the user's WhatsApp via Twilio.

Twilio and AI

I have used Twilio Messaging API to set the communication channel for WhatsApp and the AI model @cf/meta/llama-2-7b-chat-fp16 from Cloudflare Workers AI using REST API.

1. Seamless Messaging: Twilio's WhatsApp API allows to receive user messages and send responses seamlessly, providing a robust messaging platform.
2. Dynamic Responses: Using Cloudflare's AI, the bot generates dynamic and accurate information based on user queries. I am using Cloudflare Workers AI.
3. Efficient Communication: The integration of Twilio with AI ensures that users receive detailed and relevant information promptly, making the bot an effective educational tool.

Demo
This application is currently running in a sandbox environment. To test the application you can send a message alphabet-theory to the number +14155238886 or scan the QR code from your mobile.

Github Repo

snehalkadwe / galaxy-info-chatbot

GalaxyBot

GalaxyBot, is a WhatsApp chatbot that provides detailed information about stars and galaxies. The bot uses Laravel for the backend, Twilio for WhatsApp messaging, and Cloudflare's AI for generating responses.

Summary:

User Interaction and Processing: When users send a message to the Twilio WhatsApp sandbox number. Users send queries about stars and galaxies to the bot.
AI Integration: The bot passes the query to Cloudflare's AI model, which returns detailed information about the star or galaxy.
Response Delivery: GalaxyBot sends the information back to the user's WhatsApp via Twilio.

View on GitHub

Kudos to the Dev team for organizing an amazing challenge.