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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.

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aryankumar2811/AlraAI

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Alra AI – Your Personalized College Advisor

(A project leveraging cutting-edge AI to guide students through the complex college application process.)

🚀 Overview

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.

🛠️ Tech Stack


Key Features

  1. Retrieval-Augmented Generation (RAG):
    Combines OpenAI's language models with Pinecone for fast, contextually aware responses, ensuring users receive accurate and relevant advice.

  2. Dynamic Learning System:
    Continuously adapts to user behavior to improve accuracy and relevance.

  3. Intuitive User Interface:
    Designed with Material-UI and Tailwind CSS for a sleek, responsive, and mobile-friendly experience.

  4. Secure and Scalable:

    • User authentication with Firebase ensures security and privacy.
    • Built to scale using serverless architecture.

📈 Future Improvements

  • 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.

🤝 Contributing

Contributions are welcome!

About

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.

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