Inspiration
As college students, we noticed that we and our peers consume a lot of caffeinated beverages and have become reliant on caffeine in their daily routines. This constant consumption builds up tolerance over time, making the same amount of the stimulant less effective. We wanted to build an application that would help people safely wean off caffeine so that the body can restore its tolerance to natural levels.
What it does
Caffiend offers a personalized approach to help users reduce their caffeine intake to a healthy level. By inputting information about their caffeine consumption habits and weight, users receive tailored plans designed to gradually decrease their intake. Our goal is to spread awareness about the health impacts that an overload of caffeine can cause and to encourage users to improve their overall well-being.
How we built it
We built this product using Django, Python, and Javascript for the backend side of the website. This includes linking the pages together, saving the login information, and deciding the plan for the user to minimize their caffeine consumption. On the front end, the designing was done using HTML and CSS to add an aesthetic to the design.
Challenges we ran into
As newcomers to the hackathon scene, we encountered hurdles during the initial design and planning stages. Our main challenge lay in time management and organization, leading to a rush of debugging in the final moments. Additionally, grappling with unfamiliar software posed a learning curve for us. Despite these obstacles, we embraced the experience as a valuable lesson in resilience, adaptability, and the importance of planning.
Accomplishments that we're proud of
We are proud of being able to create the vision we had at the start of the Hackathon. Despite our different skillsets, we were able to assign different tasks to each person and split up the work evenly to bring together a coherent product.
What we learned
As a team of first and second-year students, we each brought unique skill sets to the table. Through this project, we learned how to collaborate effectively, blending our diverse skills to create a cohesive final product. We take pride in our collective effort, from conceptualization to design and implementation, resulting in a product we are truly proud of.
What's next for Caffiend
Next, Caffiend aims to expand its features to provide a more comprehensive approach to caffeine reduction through integrating calorie and sleep tracking functionalities into the algorithm. Additionally, Caffiend plans to incorporate community features, such as forums, support groups, and advice from professionals to foster a sense of friendship and motivation among users on their journey to reduce caffeine consumption.
Log in or sign up for Devpost to join the conversation.