SUMMARY
The Problem
College students often struggle with feeling disconnected, understanding assignment instructions, staying informed about campus events, and finding timely support and advice from peers.
The Solution
UniVerse is a dedicated social media platform for college students, designed to foster connections, simplify academic support, and provide timely updates on campus activities.
It allows students to connect with like-minded peers, share their experiences, ask questions, and stay informed, creating a supportive and engaging campus community.
How might we create a seamless platform for students to connect, collaborate, and share knowledge, so that they feel supported and empowered throughout their college journey?
People with similar weights can have different body compositions, making standard workout plans ineffective.
Tailored routines based on individual body data are more effective for reaching fitness goals.
- Personalization
Many fitness apps require users to manually set up workouts,
forcing them to adjust routines each time they want to try something new, which disrupts consistency and ease of use.
- Inconvenience
- Knowledge Gap
New users often feel uncertain about workout routines, gym equipment usage, or appropriate diet plans.
This lack of knowledge can make it difficult to meet their fitness goals.
RESEARCH
Survey and Results
85% of users expressed frustration with fitness apps.
Because the workouts provided were not tailored to their unique body composition
If AI recommends an exercise routine that fits your body composition, would you be willing to use that routine?
If yes, Why would you be willing to use an exercise routine recommended by AI based on your body composition?
Survey Insights Summary
What if AI could design workouts perfectly matched to your body,
making fitness more efficient and personalized than ever?
Design
Usability Testing
I conducted usability testing to gain insights from frequent users of fitness apps,
focusing on the ease of navigation and clarity of the UI.
Key Findings
- Overwhelming Information: Users found the layout cluttered with too many options, causing decision fatigue.
- Confusing Navigation: Multiple steps to reach workout recommendations confused users.
- Inconsistent Feedback: Lack of clear progress indicators left users unsure if they were on track.
Design Enhancement
BEFORE
AFTER
- Simplified the interface by reducing excess options and steps.
- Added intuitive navigation with clear, direct paths to key features like workout plans and progress tracking.
- Incorporated visual feedback to guide users and affirm task completion.
Final Design
Final Outcome
1. Fitness Page
combines personalized workouts, progress tracking,
custom schedules, and tailored nutrition to keep
users on track and achieving their fitness goals.
2. Fitness Recommendations
Delivers custom workout plans and nutrition guidelines based on body data, ensuring efficient and targeted progress toward fitness goals.
3. Workout Schedule
Provides a structured daily plan, with detailed exercise guides and step-by-step instructions, ensuring users stay on track and perform exercises with correct form for optimal results.
4. Progress Review
Allows users to track their progress, compare results, and receive updated workout recommendations to stay on track with their fitness goals.
Conclusion
What I learned
Working on the InBody + AI Fitness Advisor taught me a lot about designing for AI-driven fitness experiences. One of the biggest takeaways was how important user testing and feedback are—early input helped shape the final prototype into something more intuitive and user-friendly. I also learned how to take complex health data and turn it into simple, actionable fitness and diet recommendations. Plus, this project helped me get better at balancing functionality and design, making sure the interface was both useful and easy to navigate.
What's Next?
From here, I want to keep exploring AI in health and fitness, especially how to design experiences that actually motivate users to take action. I’m also really interested in data visualization and finding new ways to make fitness insights more engaging. Eventually, I’d love to work on cross-platform experiences, maybe something that integrates with wearables or mobile apps to create a more complete fitness ecosystem.