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The app is being developed using the Flutter framework, the app's primary purpose is to assist your robotics team with inventory management. It addresses the constant struggle of keeping track of all the robot materials in your workshop. By using the app, you can easily document your inventory and generate reports. To achieve this, the app leverages Google Sheets and Google Scripts. Google Sheets is a web-based spreadsheet application that enables real-time collaboration. It serves as the central repository for your inventory data. Google Scripts, a scripting platform, automates tasks and extends functionality in various Google products, including Google Sheets. With Google Scripts, you can automate inventory documentation, track missing equipment, and manipulate data within the spreadsheet. In addition, the app integrates with Google Firebase, a comprehensive suite of cloud-based tools and services. Firebase provides features such as a real-time database, user authentication, and notifications. With Firebase, the app can store inventory data, authenticate users, and send messages or notifications to your coach when restocking is required. The app offers several key functionalities to streamline inventory management. It allows you to easily report any missing equipment, ensuring that nothing goes unnoticed. You can also initiate the restocking process by ordering necessary pieces from your providers or even from online shops. Aditionally, you can view inventory pieces on AR Once the app is fully developed, it will be released on both the Apple App Store and Google Play Store. This means it will be accessible to users on both iOS and Android platforms, maximizing its reach and usability for your robotics team. You can request a beta test by sending a message on the Contact Info or view a demo by clicking on the image.

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I had the privilege of participating in a remarkable 48-hour Hackathon focused on devising a solution for NASA. I am thrilled to announce that our dedicated team emerged victorious at the national level, earning us the opportunity to compete globally. Our project centers around extracting and analyzing data from NASA and AEM databases, allowing us to construct a cutting-edge prediction algorithm for pollution levels and rain forecasts. To make this valuable information easily accessible, we developed a user-friendly mobile app. By leveraging advanced technologies such as TensorFlow and machine learning, specifically employing a tree forecast model, we were able to deliver accurate predictions tailored to users' specific locations and dates. As a result, the app provides insightful recommendations to users based on this data, empowering them to make informed decisions. Click the image to view the repository.

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