I am creating an Admission Assistant Chatbot that provides college-related data and much more. This intelligent assistant helps prospective students find information about colleges, courses, admission processes, and other educational resources.
- Interactive chatbot interface for college inquiries
- Comprehensive database of college information
- Course recommendation system
- Admission procedure guidance
- Scholarship information
- Campus life details
- Real-time responses to student queries
- React.js
- Tailwind CSS
- Lucide (for icons)
- Node.js
- Express.js
- MongoDB (for database)
- Firebase Authentication
- RAG (Retrieval-Augmented Generation) model for enhanced responses
- Vector database for efficient information retrieval
- Natural Language Processing for query understanding
The chatbot utilizes a RAG model to provide accurate and contextual responses to user queries. By combining retrieval-based methods with generative capabilities, the system can:
- Understand complex questions about college admissions
- Retrieve relevant information from our database
- Generate human-like responses with accurate information
- Continuously improve through user interactions
- Firebase for real-time data and user session management
- MongoDB for structured college and course information
- Vector embeddings for semantic search capabilities
- Multi-language support
- Personalized college recommendations based on student profiles
- Integration with college application portals
- Mobile application development