In today's fast-paced world, mental health issues are on the rise, and traditional therapy can often be expensive and inaccessible. FIDO - Your Personal Mental Well-being Buddy aims to bridge this gap by providing an innovative and accessible solution for mental health support. FIDO leverages advanced emotion detection algorithms to identify users' emotions in real-time through their webcam feed and responds with immediate therapeutic support, making it a constant emotional companion available 24/7.

The Demo can be found here: https://youtu.be/qorGj4Kxh3Y

• Emotion Detection: Utilizes real-time webcam feed to classify user emotions based on facial expressions.
• Immediate Support: Provides immediate therapeutic responses tailored to the user's current emotional state.
• 24/7 Availability: Always available to offer support, acting as a comforting presence.
• Affordable and Accessible: Offers an alternative to traditional therapy, especially for those who cannot afford it or are hesitant to seek help due to stigma.
• Remote Support: Available on digital platforms, removing geographical barriers and supporting users in remote areas.

• Alleviates Loneliness, Anxiety, and Depression: Acts as a comforting friend, helping users feel heard and understood.
• Supports Mental Health Services: Helps reduce the burden on traditional mental health services.
• Encourages Mental Health Management: The convenience and privacy of FIDO encourage more individuals to address their mental health concerns.

• Python 3.7 or higher
• Flask
• OpenCV
• Keras
• NumPy
• Google Generative AI
• LangChain

1. Clone the Repository:

   git clone https://github.com/your-repo/fido.git
   cd fido

2. Install Dependencies:

   pip install -r requirements.txt

3. Download the Pre-trained Model:

   • Ensure you have the mobile_net_v2_firstmodel.h5 file in the project directory.

4. Set Up Google Generative AI:

   • Configure your API key for Google Generative AI:

   genai.configure(api_key='YOUR_API_KEY')

1. Start the Flask Server:

   python app.py

2. Access the Application:

   • Open your web browser and navigate to http://127.0.0.1:5000.

• Access the Video Feed:
  • Navigate to http://127.0.0.1:5000/video to allow the webcam to capture your facial expressions.

• Start a Conversation:
  • On the main page, you can submit queries, and FIDO will respond based on your detected emotions.

• The application captures the video feed from the webcam.
• It detects faces and classifies emotions using a pre-trained Keras model.
• The detected emotions are displayed on the video feed in real-time.

• FIDO uses Google Generative AI to generate responses based on the user's current emotional state.
• The responses are customized to uplift and support the user's mental well-being.

• /: Renders the main page.
• /submit: Handles form submissions and displays the response from FIDO.
• /video: Streams the video feed with real-time emotion detection.
• /chat: Handles chat messages and returns responses from FIDO.

• Enhanced Emotion Detection: Improve accuracy with more advanced models and larger datasets.
• Additional Languages: Support for multiple languages to reach a broader audience.
• Mobile Application: Develop a mobile version for better accessibility on-the-go.
• Integration with Wearables: Connect with wearable devices to monitor physical indicators of mental health.

We welcome contributions to enhance FIDO. Please fork the repository and submit pull requests.