🌸 Women-Centered RAG-Based Chatbot

A Responsible AI chatbot designed for empowering women through inclusive, bias-free, and accessible career guidance and tech updates.
Built with React, TailwindCSS, Flask, Gemini LLM, and integrated with multiple APIs for rich real-time interactions.

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✨ Features

• 🎯 Sentiment Analysis & Uplifting Responses

  • Detects user emotions and generates motivating, women-centric encouragements.

• 📄 Resume Review and Career Guidance

  • Reviews resumes and provides:
    • Suggested improvements
    • Detection of skill gaps
    • Recommended courses
    • Personalized career roadmap
    • Constructive feedback on shortcomings

• ⚖️ Bias Detection and Mitigation

  • Dual-method bias detection:
    • NLP-based bias analysis
    • LLM-based bias analysis
  • Ensures fair and unbiased communication.

• 📞 Twilio Voice Interaction

  • Allows users to interact via phone call.
  • Supports voice-based queries and provides computer-generated answers.
  • Especially beneficial for visually impaired users.

• 👤 User Authentication and Profile Management

  • Users can:
    • Sign up
    • Log in
    • Update their profile directly through the chatbot.

• ❓ FAQs Support

  • Answers frequently asked questions related to:
    • JobsForHer Foundation
    • Job opportunities
    • Tech events
    • Mentorship programs
    • General career-related queries

• 🧠 Context-Aware Conversations

  • Maintains conversation context and chat history for natural, flowing interactions.

• 🛡️ Error Handling and Feedback System

  • Handles errors gracefully.
  • Provides fallback messages and collects feedback for future improvements.

• 🌍 Promote Inclusivity and Empowerment

  • Ensures all responses promote:
    • Women empowerment
    • Factual correctness
    • Positive reinforcement

• 📜 Global AI Ethics Compliance

  • Adheres to global AI ethics standards, ensuring:
    • Responsible AI usage
    • Privacy protection
    • Fairness and transparency

• 📊 Analytics and Continuous Learning

  • Tracks:
    • User engagement metrics
    • Response accuracy
    • Bias mitigation effectiveness
  • Implements continuous learning to refine AI responses based on real-world interactions.

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🛠️ Tech Stack

• Frontend: React.js+Vite, TailwindCSS
• Backend: Flask (Python)
• Large Language Model: Gemini API
• APIs Integrated:
  • Public Jobs API
  • Tech Events API
  • Mentorship Events API
  • Tech News API
  • Twilio API (for voice-based interaction)
• Authentication: JWT-based user authentication

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🚀 Setup Instructions

1. Clone the Repository:

   git clone https://github.com/your-username/your-repo-name.git

2. Frontend Setup:

   cd frontend
   npm install
   npm run dev

3. Backend Setup:

   cd backend
   pip install -r requirements.txt
   python app.py

4. Environment Variables:

   • Create .env files for:
     • API keys (Gemini, Twilio, etc.)
     • Database connection URIs
     • Authentication secrets

5. Run the App:

   • Frontend available at: http://localhost:3000
   • Backend API available at: http://localhost:5000

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🤝 Contribution

Pull requests are welcome!
For major changes, please open an issue first to discuss what you would like to change.

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🌟 Acknowledgements

• Inspired by initiatives to empower women in tech and bridge gender gaps in professional environments.
• Thanks to all open APIs, open-source libraries, and the community!

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🚀 Let’s build an empowering and inclusive future together!