The problem Nirodhah ((निरोधः)) solves

Nirodhah addresses a significant problem in today's society - stress. With high-pressure work environments, social isolation, financial stress, and other stressors, individuals are increasingly struggling with stress-related health problems. Chronic stress can lead to various adverse health outcomes, including high blood pressure, heart disease, depression, anxiety, and sleep disorders. By providing an accurate and personalized prediction of an individual's stress levels, along with customized recommendations for stress management, Nirodhah empowers individuals to take control of their stress levels and improve their overall well-being. This project aims to help individuals lead happier, healthier, and more fulfilling lives by providing them with the tools they need to manage stress effectively, thereby achieving one of the most important sustainable development goals - Good Health and Well Being.

Challenges we ran into

• Limited knowledge and time frame: The complexity and interdisciplinary nature of the stress level predictor project required expertise in areas such as data science, machine learning, user experience design, ethics, and privacy, among others. And being in our first year, we had very limited knowledge of these vast domains. This posed a challenge for us being complete novices in this field.
• Feature selection: Choosing the right features for the machine learning model was a difficult task as it required a deep understanding of the problem domain and the available data.