Inspiration

Our inspiration stems from the desire to craft something sustainable and innovative. Recognizing the significance of self-care, we set out to create a platform that embraces the uniqueness of each individual's journey to wellness. Our belief is grounded in the understanding that the path to well-being is deeply personal and should be tailored to the distinct needs of every individual.

What it does

Empowering Personal Growth: - Build an app that empowers individuals on their journey toward personal growth and self- improvement. - Provide tools and features that facilitate users in setting and achieving their wellness goals. Community Connection: - Foster a sense of community by incorporating features that allow users to connect, share achievements, and support each other. - Create a platform where users can join groups with similar interests, fostering a supportive and motivating environment. Positive Impact on Local Businesses: - Integrate a system that not only benefits users but also positively impacts local businesses. - Consider partnerships with local establishments to offer exclusive discounts or coupons to users achieving certain milestones. Gamification for Motivation: - Utilize gamification elements to make the wellness journey more enjoyable and motivating. - Reward users with points, badges, or virtual incentives for completing tasks, achieving goals, and actively participating in the community.

How we built it

Frontend: angular.js, React, html, javascript Backend: python, mysql, ml, html

Challenges we ran into

We faced challenges while implementing the Google Fit API, as acquiring the OAuth client ID was a task none of us had previously encountered. This aspect proved to be both challenging and time-consuming for our team.

Accomplishments that we're proud of

We take pride in successfully incorporating AI to enrich and support individuals on their journey toward well-being. Our achievement is reflected in offering a service that not only benefits individuals but also has a positive impact on the surrounding community.

What we learned

API Implementation: - Overcoming the hurdle of implementing the Google Fit API proved challenging. Obtaining the OAuth client ID was a novel task for our team, leading to a significant learning curve and consuming valuable time. **Machine Learning: - We significantly improved our capabilities in creating machine learning models. This encompassed the adept selection and utilization of data for training purposes. **Model Training*: - Our learning journey included acquiring the skills to train models, ranging from image-based to audio-based models. We recognized the importance of strategic decisions, such as the choice of overlapping coefficients, in achieving optimal model performance.

What's next for FITnFLEX

  • Implement the exercise tracker for all sort of exercise, not only push-ups but also set-ups, squats, jumping-jacks, etc.
  • Create a group system where people can share their achievements and completed task with friends n and also congratulate one another.
  • Expend it to a mobile app, make it more social, people can sign up for special events, with lots of consecutive tasks to complete and leaderboards.
  • Offer the possibility to organize groups based on specific objectives and/or shared interests.
  • Offer a personalised chatbot, which helps guiding people to sign up for challenges and/or groups depending on their interests.
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