REEVA - AI-Powered Career Counseling Platform

Introduction

REEVA is an innovative and intelligent platform designed to revolutionize career counseling through the integration of Google Cloud technologies and Google Gemini APIs. Our mission is to empower individuals in making informed and fulfilling career decisions.

Features

1. Relevant Aptitude Test:

   • Users can take a comprehensive aptitude test up to five times for data validity.

2. AI Chatbot Counseling:

   • An interactive chatbot collects personalized data and answers user queries related to career paths.

3. Comprehensive Career Path Information:

   • Explore detailed information about various professions, educational requirements, and job prospects.

4. User-Friendly UI:

   • Material UI theme ensures a seamless and visually appealing user experience.

Future Scope

1. Mobile App:

   • Development of a mobile app for easy and convenient access on the go.

2. Community Forums:

   • A dedicated space for users to connect, share experiences, and provide peer support.

3. Partnerships:

   • Collaborate with NGOs and educational institutions for wider reach and credibility.

Technology Stack

• Frontend:

  • HTML, CSS, JavaScript
  • React, Angular, Vue.js (Optional)
  • Material-UI
  • Google Gemini APIs for UI/UX enhancements
  • OAuth 2.0 or JWT (Authentication)

• Backend:

  • Express.js or Django/Flask
  • Mongoose (for MongoDB) or Sequelize (for SQL databases)
  • Google Cloud Platform for server and database interactions
  • Google Cloud Endpoints for API functionality

• AI and ML:

  • BERT Model or other open-source models for Question Answering and AI tasks
  • TensorFlow.js or TensorFlow (Python) for machine learning
  • Various NLTK libraries, spaCy for NLP tasks

• Data Sources:

  • Kaggle, NCS, Data.gov.in, Gov Job Portal, Glassdoor, AICTE internship website
  • Google Cloud APIs for data integration
  • Web scraping tools as needed for various websites

Getting Started

1. Clone the repository.
2. Set up the frontend and backend according to the provided documentation.
3. Integrate Google Cloud technologies and Gemini APIs.
4. Install the required dependencies.
5. Run the application locally.

Contributing

We welcome contributions! If you have ideas, bug fixes, or new features to propose, feel free to create issues or pull requests.

License

This project is licensed under the MIT License.

Contact

For inquiries and support, please contact support@reeva.com.

Thank you for choosing REEVA! We look forward to assisting you in your career journey.