CryptoMoodBank | Devpost

CryptoMoodBank on that Sigma Grindset

What it does

CryptoMoodBank is a web platform designed to integrate emotional well-being with the dynamic world of cryptocurrency. It gamifies emotional awareness, helping users track and manage their moods while earning rewards in the form of Aura Coins, a virtual currency.

Key Features

Mood Insights
- Users share their current emotional state, which the platform analyzes using AI-powered tools.
- Provides actionable insights into emotional patterns and trends to help users grow emotionally.
Crypto Rewards System
- Users earn Aura Coins based on their engagement, emotional consistency, and participation in daily activities.
- The rewards incentivize self-reflection and emotional awareness, turning mood tracking into a rewarding experience.
Daily Challenges
- Includes activities like mindfulness exercises, journaling, or small lifestyle changes tailored to improve emotional well-being.
- Completing challenges earns users additional rewards, keeping engagement high.
Gamification of Mental Health
- Tracks streaks, progress, and achievements to keep users motivated.
- Integrates elements like leaderboards or milestones to encourage friendly competition and long- term commitment.
Dynamic User Interaction
- A visually appealing UI, including animated sections and an interactive hero video, enhances user engagement.
- The platform adapts to users' moods and provides content to lift or complement their emotional state.

How we built it

CryptoMoodBank was developed using Flask for the backend, integrating AI-powered APIs for mood analysis. The frontend combines HTML, CSS, and JavaScript to provide a seamless, user-friendly experience, enhanced with animations and responsive design.

Challenges We Ran Into

API Integration: Ensuring accurate and efficient mood analysis.
Gamification Logic: Designing an engaging and fair reward system.
Time Constraints: Balancing feature implementation within the hackathon timeframe.

Accomplishments That We're Proud Of

Successfully integrating AI for real-time mood tracking.
Creating a gamified platform that blends emotional wellness with cryptocurrency.
Delivering an intuitive and visually appealing user interface.

What We Learned

How to effectively combine APIs for advanced functionality.
The importance of gamification in user engagement.
Teamwork and time management in a high-pressure environment.

What's Next for CryptoMoodBank

Introducing personalized recommendations for emotional growth.
Expanding Aura Coin utilities, including external partnerships.
Enhancing analytics for deeper emotional insights.

Tracks

Best Overall Yay :3
(IJAG) I'm Just A Girl (We have 5 women in our team and all are first or second time hackers)
i laughed.(new hackers prize)(10 winning teams) (We have ALL been to less than 5 hackathons!!!)
money money money($0)
build a tool that distracts you when ur trying to be productive
wakaba prize *nontechnical/no code meme track
best morgan young build your brand linkedin post

Built With

Submitted to

brainrot jia.seed hackathon ($5,772) in prizes
- Winner (TPIA) this project is awesome

Created by

Collaborated with the machine learning team to develop and optimize a model tailored to the project's objectives. Focused on enhancing model efficiency and effectiveness while ensuring alignment with the team's requirements and use-case scenarios. Leveraged data preprocessing, hyperparameter tuning, and performance evaluation techniques to deliver a robust and scalable solution.

Divyank Malik
I played a pivotal role in the ideation and brainstorming of the app’s unique features, such as mood-based savings rates. My primary focus has been on designing an engaging and intuitive user experience. Helped with initial designs of the login page, mood submission form, and visual layout for the app's future dashboard. Developed the structure and content for presentations, showcasing the project’s journey from ideation to implementation

Aaliyah padmore
I contributed to this project by designing and developing the frontend, ensuring readability and cohesiveness across all pages. I also worked to create a sleek and intuitive interface, contributed to the overall layout, and fine-tuned various elements for a polished final product. Additionally, I kept our project up to date on Git and managed the deployment process.

Deborah Ama
I worked on the backend, developing the machine learning model using regression techniques, as well as managing the database.

Sadaf Shaik
I contributed to this project by designing and developing the front end, creating an intuitive and engaging user experience. Additionally, I worked with Flask on the back end, helping to build the functionality that powers the application.

Sharvan Gajula
Meow meow meow meow.....
I helped at the backend of the project, contributed to developing mood-based savings algorithms, integrating machine learning models for personalized recommendations, and brainstorming key features for the project.

Chidinma Igwegbe
The way I contributed to this project was by creating the foundation for the Flask app. I presented ideas during our brainstorming session to see what are key features to add to the dashboard.

Christian Blanquera
KELLY PATRICIA