TaskSprout

Problem, Inspiration, & Solution

Procrastination and lack of motivation make everyday tasks hard to start and finish. TaskSprout solves this by turning productivity into a game — every task you complete helps grow a fruit-themed virtual pet from seed to ripe fruit. Skipping tasks causes the fruit's health to decline, encouraging consistency. AI-generated motivational messages make the experience feel fun and personalized.

Technical Aspects

Prototype built with: Python, Hugging Face API of Mistral model, Streamlit for an interactive and clean UI Mockup built with: HTML and CSS for UI, JavaScript to handle user action Gamification logic: Task completion earns users points that can be used to buy accessories which aid plant growth AI Integration: Hugging Face's Mistral model API (Mistral-7B-Instruct-v0.1) used to give users tips for completing tasks and boost productivity Session tracking: Uses st.session_state to manage plant progress and task flow Timer & points system: Countdown per task, rewards based on time invested, user can choose between Pomodoro technique, time blocking, or Kanaban board to manage time (not implemented in code)

Challenges we ran into

1. Managing user interaction one task at a time in Streamlit’s re-run loop
2. Handling Hugging Face API responses, cold starts, and prompt formatting
3. Keeping everything simple but engaging, without overcomplicating the user experience
4. Implementing complex UI designs into HTML+CSS mockup and making them work with JS logic

Learnings & Future

1. Learned how to build interactive web apps and manage state
2. Gained experience integrating AI APIs for real-time responses
3. Understood how to improve user engagement through gamification

Built With

• css
• html
• huggingface
• javascript
• mistralapi
• python
• streamlit