GYMBAIT

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Gymbait recognized an opportunity to innovate in the fitness industry by leveraging AI to create a gym fitness mobile app tailored for the UK market. The aim was to address common frustrations experienced by gym-goers and fitness enthusiasts, offering personalized fitness plans, progress tracking, and flexible workout options.

Objectives

Develop an AI-driven fitness app that provides personalized workout plans and progress tracking.
Enhance user engagement through an intuitive and user-friendly interface.
Integrate social and community features to foster a supportive environment.
Target two key personas Fitness Enthusiasts and Busy Professionals.

Expertise

Design, Interaction and Development

Platform

iOS Swift, Android Studio

Deliverables

UI, UX, Strategy, Concept and Development

Technology

NodeJs, MongoDB, ChatGPT Assistant APi

Branding

Color Therapy

Typography

Mood Board

Wireframing

Personalized Workout Plans

AI-generated plans tailored to individual goals and fitness levels.

Real-time Progress Tracking

Visualize progress with graphs and analytics

Flexibility

Options for home workouts, gym routines, and on-the-go exercises.

Motivational Content

Access to motivational videos, articles, and tips from fitness experts.

AI Integration and Development

AI Algorithm Design
Designed algorithms capable of generating personalized workout plans based on user data (age, fitness level, goals).

Machine Learning Models
Implemented machine learning models for real-time progress tracking and workout suggestions.

Development Stack
Utilized a robust tech stack including React Native for the front-end, Node.js for the back-end, and TensorFlow for AI/ML functionalities.

Testing and Refinement

Beta Testing:
Released a beta version to a select group of users, including both personas, to gather feedback.

Iterative Improvements:
Continuously refined the app based on user feedback and performance metrics.

Security and Privacy:
Ensured data security and compliance with GDPR regulations.

Results

User Engagement:
Increased user engagement with high retention rates and positive feedback.

Market Penetration:
Successful entry into the UK fitness market with growing user base.

Brand Affinity:
Enhanced brand reputation and affinity among fitness enthusiasts and busy professionals.

Conclusion

The development of the AI-based gym fitness mobile app by Roars showcased the company’s expertise in user experience design, AI integration, and agile methodologies.

By addressing the specific needs and frustrations of the target personas, the app achieved significant market success and user satisfaction in the UK.

CREATIVE
STRATEGY
TECHNOLOGY

GymBait

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