Crafting experience...
10/12/2025
A Project Made By
Submitted for
Built At
HuddleHive's WIT Hackathon #4
Hosted By
Fitness isn’t one-size-fits-all. Women’s energy and motivation fluctuate throughout their cycle, yet training apps ignore this.
Personal trainers are costly, inconsistent, and often lack empathy. KAIA changes that, a companion that understands women’s bodies and adapts with empathy and precision.
KAIA is an AI fitness companion that understands women holistically. She adapts workouts and tone based on your cycle, sleep, mood, and energy, offering guidance that’s empathetic and data-driven. By blending science, emotion, and technology, KAIA delivers fitness that listens, learns, and evolves with every woman.
KAIA’s frontend app connects to the backend through APIs to deliver adaptive workouts and real-time feedback. The database stores all exercises and their 3D animations, used to compare the user’s form and correct posture. NLP models interpret user input to understand goals, preferences, and desired changes. Time-series forecasting and recommendation systems analyze cycle, mood, and energy data to personalize each session.Together, these components make KAIA an intelligent and empathetic fitness companion.
We struggled with having too many ideas and finding the right balance for one cohesive app.To solve this, we refined our focus, prioritizing on our audiece being women only fand building KAIA around issues faced by women in the fitness word.
We designed a detailed Figma prototype and presentation that capture KAIA’s vision. We learned how to narrow down big ideas into a clear, cohesive concept that truly puts women at the centre of their fitness journey.The process taught us the importance of empathy, user experience, and privacy when building something personal and meaningful.
Next, we aim to develop a working version of KAIA and test it with real users. We’ll focus on refining the user journey, improving personalisation, and ensuring data privacy. In the future, we hope to expand KAIA’s concept to men, exploring how training can adapt to their hormonal and emotional cycles too.