Kora AI

Team Let's Build

https://docs.google.com/presentation/d/1XTGcbN1uXL5Pn1zSLukpB77I0Td-1w3hU9qVIHQTQWs/edit?usp=sharing

Framing the Problem

What is the problem you are trying to solve? Who does it affect?

Many people struggle to maintain consistent exercise routines. Setting goals too high or lacking motivation often leads to dropping out. Busy professionals, beginners intimidated by gyms, and those seeking accountability face particular challenges in staying on track with their fitness journey.

Kora AI addresses this by providing accountability, helping users stick to their plans and achieve their goals while making exercise more approachable and engaging.

Idea Explanation

What is your idea? How does it fix the problem?

Kora AI is an AI-powered personal workout and motivation app. Users can log their workouts and record their daily mood, while the AI offers emotional reflection and mindfulness support. Gamification elements such as badges and stickers reward engagement, and community features allow users to discover nearby fitness groups for social motivation.

This approach helps beginners start exercising easily, form lasting habits, and stay motivated. For future expansion, premium features like 1:1 virtual PT, personalised routines, and 3D/AR posture feedback will provide professional-level guidance.

Implementation

How do all the pieces fit together? Does your frontend make requests to your backend? Where does your database fit in?

The project was built with Next.js as a full-stack framework, using Tailwind CSS and ShadCN for a mobile-first and accessible UI design. We implemented react-hook-form with Zod for robust form handling and validation, and Recharts for visualising workout data. The backend is powered by Next.js server functions, and the project is deployed on Vercel.

Challenges

What did you struggle with? How did you overcome it?

We brainstormed many ideas and were enthusiastic about the topic, which made condensing them a challenge. To refine our focus, we used Miro to define the core pillars and key service values, and each team member wrote their ideas on individual cards. We then listed features and conducted a prioritisation exercise to determine the most important ones and set our product roadmap.

At the beginning, our team took time to clarify the terms and direction of the challenge, such as defining what “accessible” meant and identifying the target users. This was somewhat different from our initial assumptions, which was a valuable insight. We addressed this by actively communicating with the founder to confirm definitions, the target audience, and the expected features.

Since focusing solely on personal training could have limited beginner adoption, we designed the MVP around a free, general workout and motivation app, making it approachable for a wide range of users.

Accomplishments

What did you learn? What did you accomplish?

We implemented an MVP with key features:

• Daily/weekly workout logging with notifications

• An AI chatbot for mood tracking and mindfulness,

• Landing page visualising workouts and moods,

• Profile system with badges for achievement tracking, and

• Nearby community discovery

Through this process, we learned the value of solving user problems with small but meaningful details — gamification, emotional support, and progress visualisation. We focused on creating a clear structure for user support. The AI handles emotional reflection, habit formation, and personalised motivation, helping users stay engaged and consistent with their workouts.

Next Steps

What are the next steps for your project? How can you improve it?

Our next steps will focus on premium PT features, including 1:1 virtual PT connections, personalised routines, and 3D/AR posture feedback, along with more advanced AI-driven workout recommendations.

The long-term goal is to build a fully integrated AI+PT personal fitness platform and expand into various exercise domains, making personalised training accessible and engaging for all users.