Fetchly
Shown below are photos from creating Fetchly and with the team presentation photo being taken by Primitivo M. Bambao IV:
Duration:
May 2025Description:
Fetchly is an app that was created in a team of 4 as a part of the UHackathon 2025 competition and is designed to help people find lost/misplaced items and find better places to store them to prevent misplacing them again. We implemented a cross-platform mobile app using React-native for the frontend, YOLOv8 Convolutional Neural Network for real-time object detection, and a Python Flask API to process images and return detected objects and empty zones. TypeScript for the routes and used Figma to prototype the UX/UI design. In this competition, we won first place in the Experimental project pipeline.
Technology Used:
TypeScript, SQL, React Native, YOLOv8 Convolutional Neural Network, Python Flask API, Figma
Problems Solved by the Project
The impact of this would be to help people organize their items by showing empty spaces to promote a habit of placing things in areas that are then easy to locate the item again. Additionally, our target audience is the elderly or people who are near-sighted, and using this app will help with locating items that are missing by using image detection, which is utilized by computer vision.
Challenges and What Was Learned:
Developing Fetchly has taught my entire team and I how to develop a mobile app, how to continuously learn and adapt especially when building a project in a small amount of time, and how to compete in a hackathon. On a personal level, I have learned about the nature of how it’s important to develop a project if it can help people even if some people to initially have the wrong impression of why you created that project since while the event because it was small-scale was planned for judging to be fully ethical way of everyone is on an equal playing field, anyone even those who worked on the event organization could compete, and with only judges and not competing volunteers only able to know the scores and ranking before the results became public, because my team somehow had good results from the judges to the point of winning a category, it led some people to have the wrong impression initially on our project though my team and I moved forward beyond that as our only focus was on what the project has the potential to do for the community and not on the competition ranking in which everyone was able to eventually see the focus of the project itself.