(A project leveraging cutting-edge AI to guide students through the complex college application process.)
Alra AI is an innovative AI-powered college advising platform designed to help students make informed decisions about their academic future. Using advanced Retrieval-Augmented Generation (RAG) techniques, it provides dynamic, context-aware responses tailored to user queries. Whether you're exploring colleges or planning your application strategy, Alra AI is your trusted advisor.
Features:
- Personalized recommendations and advice for colleges and programs.
- AI-driven answers that improve over time through user interactions.
- Seamless, intuitive UI for effortless navigation and accessibility.
- Frontend: Next.js, React.js
- Backend: Firebase (Authentication & Data Management)
- AI Integration: OpenAI, Pinecone (Vector Storage & Retrieval)
- UI Design: Material-UI, Tailwind CSS
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Retrieval-Augmented Generation (RAG):
Combines OpenAI's language models with Pinecone for fast, contextually aware responses, ensuring users receive accurate and relevant advice. -
Dynamic Learning System:
Continuously adapts to user behavior to improve accuracy and relevance. -
Intuitive User Interface:
Designed with Material-UI and Tailwind CSS for a sleek, responsive, and mobile-friendly experience. -
Secure and Scalable:
- User authentication with Firebase ensures security and privacy.
- Built to scale using serverless architecture.
- Expand support for international universities and admission processes.
- Incorporate user-uploaded documents (e.g., resumes, essays) for personalized feedback.
- Add chat-based interaction with OpenAI GPT models for real-time assistance.
Contributions are welcome!