AI Chatbot for College Assistance 🔗
Welcome to the AI Chatbot for College Assistance project! This AI chatbot is designed to assist students with their college-related queries via a user-friendly interface. Utilizing Next.js for the frontend, WhisperAI for voice queries, Command R+ LLM for real-time data scraping, and Twilio for WhatsApp integration, this solution significantly enhances the user experience and reduces the workload on college administrators.
- Next.js: Framework for building server-rendered React applications.
- WhisperAI: Used for processing voice queries.
- Command R+ LLM: Enables real-time data scraping for up-to-date information.
- Twilio: Integrates WhatsApp for direct communication.
- Docker: Containerization of ML models for easy deployment.
- Recommendation System: Offers personalized college recommendations based on user preferences.
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Voice Query Support:
- Users can ask questions using their voice, making interactions more intuitive and accessible, especially for those on the go.
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Real-Time Data Scraping:
- The chatbot can pull information from various online sources in real time, ensuring users receive the latest updates on college admissions, courses, deadlines, and events.
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WhatsApp Integration:
- By leveraging Twilio, users can interact with the chatbot directly through WhatsApp, making it convenient to get assistance without needing a dedicated app.
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Personalized College Recommendations:
- Based on user inputs and preferences, the recommendation system suggests colleges tailored to the individual's interests, helping them make informed decisions.
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User-Friendly Interface:
- Built with Next.js, the chatbot provides a smooth and responsive user experience, making it easy for users to navigate and find the information they need.
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Scalable and Dockerized Deployment:
- The entire application, including the ML models, is containerized using Docker, allowing for easy scaling and deployment in different environments.