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Added details about a few more of this year's projects.
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pages/development/google-summer-of-code/2025.md

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@@ -37,17 +37,89 @@ These ideas are just some topics we came up with, where currently nobody is work
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### Pocket Paint Flutter
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175 or 350 Hours
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350 Hours
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> **Required Skills**: Flutter, Dart, Android-Development, Agile Development <br>
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> **Difficulty level**: To Be Determined (tbd)
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> **Possible Mentors**: Julia Herold, Patrick Ratschiller <br>
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> **Expected Outcome**: Features from Kotlin/Java version of Paintroid ported to new Flutter-based version<br>
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> **Difficulty level**: Medium to advanced
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The developer should have knowledge of Flutter. Develop and implement missing tools in Flutter that exist in our old Android app built with Android Native.
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### AI-Generated 3D Models from Marine Animals
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350 Hours
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> **Preferred Skills**: Generative AI (Stable Diffusion, GANs, Autoencoders), 3D Modeling (Blender, Unreal Engine), Marine Biology Data Sources<br>
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> **Possible Mentors**: Krishan Mohan Patel, Himanshu Kumar <br>
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> **Expected Outcome**: Functionally coded 3D models <br>
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> **Difficulty level**: Medium
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This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. This project will focus on developing AI-powered 3D models of marine species using generative AI techniques. By training machine learning models on marine biology datasets, realistic and interactive 3D assets of octopus, fish, corals, and other underwater species will be created for use in AR applications for teaching marine biology in high schools, where teachers and pupils will be able to “program” the simulated marine animals for learning purposes integrated into biology curricula. These models will adapt dynamically based on environmental conditions like depth, temperature, and biodiversity levels.
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<hr>
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### AR-Based Interactive Marine Ecosystem Simulation
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350 Hours
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> **Preferred Skills**: AR Development (Unity, ARKit, ARCore), Physics-Based Ecosystem Simulations, AI-Powered Content Adaptation<br>
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> **Possible Mentors**: Himanshu Kumar, Aryavardhan Sharma<br>
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> **Expected Outcome**: AR simulation code <br>
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> **Difficulty level**: Advanced
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This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. This project will develop an immersive AR simulation that allows users to explore marine ecosystems and understand ecological interactions. Students will be able to visualize food chains, coral reef dynamics, and the effects of pollution through real-time AR simulations. This project aims to provide an engaging, hands-on learning experience for STEM education.
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### AI-Driven Adaptive Learning Module for Marine Biology
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350 Hours
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> **Preferred Skills**: AI for Adaptive Learning (Reinforcement Learning, NLP), Educational Gamification Techniques, Data Analytics for User Behavior Tracking<br>
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> **Possible Mentors**: Aryavardhan Sharma, Supreeth M Kumar <br>
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> **Expected Outcome**: AI-based machine learning module <br>
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> **Difficulty level**: Advanced
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This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. This project will implement an AI-driven adaptive learning system that customizes educational content based on student engagement and progress. The system will analyze user interactions, quizzes, and exploration patterns to personalize the learning path, ensuring a more effective and engaging experience. We will provide remote access to hardware on which the learning algorithms can be executed.
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### Mobile Application for Marine Biology AR Learning
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350 Hours
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> **Preferred Skills**: Mobile AR Development (Flutter, React Native), UI/UX Design for Interactive Learning, Voice & Gesture Recognition<br>
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> **Possible Mentors**: Supreeth M Kumar, Krishan Mohan Patel <br>
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> **Expected Outcome**: Mobile AR app <br>
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> **Difficulty level**: Advanced
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This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. This project will focus on developing a mobile AR application that allows students to access interactive marine biology lessons anywhere. The app will support gesture-based interaction, voice commands, and real-time exploration of AI-generated underwater environments, making STEM education more accessible.
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### Open-Source AR Toolkit for STEM Education
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350 Hours
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> **Required Skills**: Open-Source Development (GitHub, API Integrations), Modular AR Content Framework, Cross-STEM Applications (Physics, Chemistry, Earth Science).<br>
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> **Possible Mentors**: Wolfgang Slany, Selina Ernst <br>
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> **Expected Outcome**: AR toolkit / STEM <br>
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> **Difficulty level**: Medium
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This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. This project will create a modular, open-source AR framework that educators and developers can use to extend AR-based learning into other STEM domains. The toolkit will include pre-built 3D models, AI-based interactive features, and an easy-to-use interface for educators to integrate AR content into their curriculum.
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### Awesome Demo Game Project on Marine Biology
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350 Hours
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> **Required Skills**: Coding Basics<br>
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> **Possible Mentors**: Selina Ernst, Wolfgang Slany <br>
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> **Expected Outcome**: Catrobat Demo Game on Marine Biology <br>
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> **Difficulty level**: Medium
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> **Difficulty level**: Beginner
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Spend the whole GSoC time developing and designing a demo game. This year's focus of Catrobat includes topics around marine biology as an application area, and we have several projects around the general topic. The present project aims at inspiring young people to become aware of topics related to the protection of marine habits by creating related video games of their own. If you have your own original idea about a game around this topic, please feel free to suggest it. Please note that the demo game will be published under Catrobat’s free open source license, and that the game will thus become part of the Catrobat FLOSS project’s source code. Thus, all artwork, sounds, character names etc must be compatible with our licenses, i.e., freely publishable under our licenses, the AGPL version 3 and CC BY-SA 4.0, or under a compatible, possibly even freer license such as CC0.
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