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HappySpace

Where Smiles Blossom and Worries Fade Away

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Created on 6th March 2024

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HappySpace

Where Smiles Blossom and Worries Fade Away

The problem HappySpace solves

User Access:

  • Registration and Account Creation: Users can register and create accounts on the platform to access its features.
  • Login: Registered users can log in to access the application's features.
  • Chat Feature: Users have access to a chat feature to engage in positive conversations and share encouraging thoughts with other users.

Doctor Access:

  • Exclusive Access: Mental health professionals will have exclusive access to the platform as doctors.
  • Professional Profiles: Doctors can create and manage their professional profiles.
  • Chat Participation: Doctors can participate in chat sessions, providing guidance and support to users when needed.

Positive Thoughts and Experiences Sharing:

  • Community Support: Users can share their positive experiences, thoughts, and inspirational messages with the community.
  • Interaction: Users can read, react, and comment on posts shared by others, creating a supportive and uplifting community atmosphere.

Sentiment Analysis:

  • Emotional Tracking: The application features a sentiment analyzer to identify the emotional tone and sentiment of user-generated text.
  • Reflective Tool: Sentiment analysis helps users reflect on their emotions and track their progress over time.

Text-to-Speech:

  • Accessibility Feature: The web application includes a text-to-speech feature catering to disabled users who may have difficulty reading or comprehending text.
  • Effective Participation: Text-to-speech functionality enables users with disabilities to access content and participate in conversations effectively.

Challenges I ran into

During the development of Happy Space, we faced some challenges, including:

  • Integration of Text-to-Speech: Implementing the text-to-speech functionality and ensuring it works seamlessly for disabled users required careful consideration and testing.

  • Sentiment Analysis Implementation: Developing a reliable sentiment analyzer that accurately identifies emotional tones and sentiments in user-generated text was a complex task.

  • User Authentication and Security: Implementing a secure user authentication system and ensuring data privacy for users and doctors posed significant challenges.

Discussion

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