Building a Multi-Platform Wellness Content Recommendation System Using Machine Learning

Create a comprehensive wellness measurement and recommendation system that can help individuals improve their physical, mental, and emotional health across four key areas: physical activity, stress management, nutrition, and self-perception or self-esteem.

The problem

Many individuals struggle with maintaining a healthy lifestyle due to various factors such as a lack of time, motivation, knowledge, or access to resources. This can lead to physical, mental, and emotional health issues, which can have a significant impact on a person’s quality of life. This project aims to address the above problem by providing individuals with a personalized and accessible wellness measurement and recommendation system. The system would take into account the user’s individual context and provide recommendations that are tailored to their unique needs and circumstances.

Furthermore, it also seeks to address the problem of a lack of engagement with wellness content. Many people may have access to wellness content, but they may not engage with it regularly or consistently. The developed system will aim to solve this by prompting users at appropriate times throughout the day and providing them with content that is relevant to their current needs and circumstances.

Overall, this would help individuals improve their well-being by making it easier and more accessible for them to adopt healthy habits and engage with wellness content regularly. By improving individual’s well-being, the project could have a positive impact on society as a whole by reducing healthcare costs, increasing productivity, and promoting overall happiness and quality of life.

The project goals

The ultimate objective of the project would be to help individuals lead healthier, more balanced lives by providing them with personalized and accessible wellness content and recommendations based on their individual needs and circumstances. 

The main goals of this Omdena-Goe Wellness Challenge are:

• Develop a system that can measure an individual’s wellness across four key pillars: physical activity, stress management, nutrition, and self-perception or self-esteem.
• Create a recommendation system that provides personalized wellness content based on the user’s individual needs and context, including their calendar, location, and social network.
• Prompt users at appropriate times throughout the day to engage in wellness activities, such as simple exercises or activities that can help re-energize and refocus them.
• Increase user engagement with wellness content by providing recommendations that are relevant and tailored to their needs and circumstances.
• Measure the effectiveness of the system in improving users’ well-being over time and make necessary adjustments to improve its performance.
• Make the system flexible enough so it can be updated based on user feedback and evolving trends in the wellness industry.