MoodBuddy

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  we typed our mood as " i feel great" for the result shows

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  "i feel sad"

Inspiration Mental health is often overlooked, especially in fast-paced lives. We wanted to create a simple, accessible tool that encourages people to check in with themselves, feel supported, and connect with helpful resources when needed.

What it does MoodBuddy is an AI-powered bot that motivate and support with people's Feeling:

1.Analyzes user input to detect emotional sentiment. 2.Provides personalized responses to uplift the user. 3.Suggests mental health resources or motivational quotes. 4.Acts as a friendly companion to promote mental well-being

How we built it 1.Frontend: A lightweight HTML/CSS interface for user interactions. 2.Backend: Python with Flask for handling chatbot logic. 3.AI Component: Sentiment analysis using the TextBlob library.

Challenges we ran into 1.Integration of sentiment analysis: Ensuring accurate detection of user emotions was tricky with limited time to fine-tune models. 2.Design simplicity: Balancing functionality with an intuitive and clean UI was a challenge.

Accomplishments that we're proud of 1.Implemented sentiment analysis and meaningful responses effectively. 2.Built a project that can make a positive social impact, even with limited resources.

What we learned 1.How to integrate AI libraries into a functional prototype. 2.How building a product focused on mental health requires considering the emotional aspect of user interactions.

What's next for MoodBuddy 1.Develop a standalone app to enhance accessibility and reach. 2.Working out through identification Facial recogonization

Built With

• css
• flask
• html5
• javascript
• python
• textblob