Merge pull request #117 from Catrobat/AIOTSonline-patch-1

Update 2026.md

Author: AIOTSonline

pages/development/google-summer-of-code/2026.md

@@ -41,7 +41,7 @@ You may use AI tools as much as you like (brainstorming, code generation, refact
 
 ### Multiplayer, IoT, and Home Assistant support via two MQTT bricks
 
-90, 175 or 350 hours
+90, 175 or 350 hours  
 {: .label .label-blue }
 
 {: .highlight  }
@@ -66,7 +66,7 @@ To apply for this project idea, please complete <a target="_blank" href="https:/
 
 ### Pocket Paint Flutter
 
-350 Hours
+350 Hours  
 {: .label .label-blue }
 
 {: .highlight  }
@@ -80,7 +80,7 @@ The developer should have knowledge of Flutter. Develop and implement missing to
 <hr>
 
 ### AI Mentor for PocketCode Students
-350 Hours
+350 Hours  
 {: .label .label-blue }
 
 {: .highlight  }
@@ -102,7 +102,7 @@ You won’t need to implement everything—just focus on the part that excites y
 <hr>
 
 ### Awesome Demo Game Project on Marine Biology
-350 Hours
+350 Hours  
 {: .label .label-blue }
 
 {: .highlight  }
@@ -124,7 +124,7 @@ Spend the whole GSoC time developing and designing a demo game. This year's focu
 
 {: .highlight }
 > **Required Skills**: Python, C#, Procedural Animation, Skeletal Systems, Blender Scripting, 3D Geometry, Git Version Control, GitHub, Understanding and integration of ML models, Unity, Blender  
-> **Possible Mentors**: :contentReference[oaicite:2]{index=2}, :contentReference[oaicite:3]{index=3}  
+> **Possible Mentors**: Nikhil Ranjan Rajhans, Abha Kumari  
 > **Expected Outcome**: A reusable skeleton-driven procedural animation framework for marine animals  
 > **Difficulty level**: Advanced  
 > **Project size**: Large  
@@ -136,7 +136,7 @@ This project focuses on creating a skeleton-based procedural animation system fo
 
 Animations will be driven by behavior states and environmental conditions, allowing seamless integration with AI behavior engines and ecosystem simulations. The system will be lightweight, reusable, and suitable for real-time educational applications.
 
----
+<hr>
 
 ### Gemini-Powered Ecosystem Narration and Analysis Interface
 
@@ -145,10 +145,10 @@ Animations will be driven by behavior states and environmental conditions, allow
 
 {: .highlight }
 > **Required Skills**: Python, C#, LLM Integration, Prompt Engineering, Explainable AI, Simulation Analysis, Git Version Control, Understanding and integration of ML models, Unity  
-> **Possible Mentors**: :contentReference[oaicite:4]{index=4}, :contentReference[oaicite:5]{index=5}, :contentReference[oaicite:6]{index=6}  
+> **Possible Mentors**: Abha Kumari, Garima Jain, Kumari Deepika  
 > **Expected Outcome**: An AI-powered narration and analysis layer for marine ecosystem simulations  
 > **Difficulty level**: Average  
-> **Project size**: Medium
+> **Project size**: Medium  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/02_gemini_powered_ecosystem_narration/task.html)
 
 
@@ -158,7 +158,7 @@ This project integrates a Gemini-based natural language interface to enhance acc
 
 The LLM will act strictly as an interface and explanation layer, translating simulation states into human-readable insights and structured ecosystem modifications, while core logic remains deterministic and transparent.
 
----
+<hr>
 
 ### AI-Driven Dynamic Procedural Map Generation System
 
@@ -167,10 +167,10 @@ The LLM will act strictly as an interface and explanation layer, translating sim
 
 {: .highlight }
 > **Required Skills**: C#, Procedural Generation, AI Simulation Systems, Spatial Data Structures, Noise Functions, Environmental Modeling, Behavior Modeling, Git Version Control, Auth, DBMS, Understanding and integration of ML models, Unity, Blender  
-> **Possible Mentors**: :contentReference[oaicite:7]{index=7}, :contentReference[oaicite:8]{index=8}  
+> **Possible Mentors**: Kumari Deepika, Atharva Prashant Joshi  
 > **Expected Outcome**: A dynamically evolving coral reef environment guided by AI-driven simulation models  
 > **Difficulty level**: Advanced  
-> **Project size**: Medium
+> **Project size**: Medium  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/03_ai_driven_dynamic_procedural_map_generation/task.html)
 
 
@@ -191,7 +191,7 @@ All generations must remain deterministic from a seed, with AI models acting as
 
 The final system should feel alive, it should be biologically plausible and continuously evolving.
 
----
+<hr>
 
 ### Upgradation of AR-Based Interactive and Procedural Marine Ecosystem Simulation
 
@@ -200,10 +200,10 @@ The final system should feel alive, it should be biologically plausible and cont
 
 {: .highlight }
 > **Required Skills**: C#, Java, Unity, Vuforia SDK, AR Foundation, Firebase, Cloud, Git Version Control, GitHub, REST API, Auth, DBMS, Understanding and integration of ML models, CI/CD, Blender  
-> **Possible Mentors**: :contentReference[oaicite:9]{index=9}, :contentReference[oaicite:10]{index=10}  
+> **Possible Mentors**: Krishna Mohan Patel, Himanshu Kumar  
 > **Expected Outcome**: A more realistic, scalable, and performance-optimized AR marine ecosystem platform  
 > **Difficulty level**: Advanced  
-> **Project Size**: Large
+> **Project Size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/04_upgradation_ar_based_interactive_simulation/task.html)
 
 
@@ -215,7 +215,7 @@ The upgraded version will improve procedural generation of marine environments (
 
 Additionally, this project will expand infrastructure support using Firebase, cloud-ready services, enabling user authentication, progress storage, module sharing, and future backend integration. Optional integration of lightweight ML models can be explored for behavior prediction, adaptive learning, or intelligent content recommendation.
 
----
+<hr>
 
 ### AR Based Human Interaction Enabled Application for Marine Life
 
@@ -224,10 +224,10 @@ Additionally, this project will expand infrastructure support using Firebase, cl
 
 {: .highlight }
 > **Required Skills**: Python, YOLO, MediaPipe, Pose Detection Algorithms, Machine Learning, C#, Unity, Vuforia SDK, AR Foundation, Firebase, Cloud, Git Version Control, GitHub, REST API, Auth, DBMS, Understanding and integration of ML models, CI/CD, Blender  
-> **Possible Mentors**: :contentReference[oaicite:11]{index=11}, :contentReference[oaicite:12]{index=12}  
+> **Possible Mentors**: Udit Narayan, Nikhil Ranjan Rajhans  
 > **Expected Outcome**: A complete gesture-driven AR marine learning experience  
 > **Difficulty level**: Advanced  
-> **Project Size**: Medium
+> **Project Size**: Medium  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/05_ar_based_human_interaction_enabled_app/task.html)
 
 Description
@@ -238,7 +238,7 @@ Instead of relying only on buttons and UI controls, users will be able to perfor
 
 The expected goal is to achieve a complete gesture-driven AR marine learning experience that improves immersion, accessibility, and interaction realism.
 
----
+<hr>
 
 ### Extension of Sandbox Toolkit for simplifying the Development of Marine based AR Modules
 
@@ -247,10 +247,10 @@ The expected goal is to achieve a complete gesture-driven AR marine learning exp
 
 {: .highlight }
 > **Required Skills**: Java, C#, Unity, Unity Editor tooling, Vuforia SDK, ScriptableObjects, AR Foundation, Firebase, Cloud, Git Version Control, GitHub, REST API, Auth, DBMS, Understanding and integration of ML models, CI/CD, Blender  
-> **Possible Mentors**: :contentReference[oaicite:13]{index=13}, :contentReference[oaicite:14]{index=14}  
+> **Possible Mentors**: Somya Barolia, Shivendra Verma  
 > **Expected Outcome**: A reusable Unity-based Marine AR Module Builder  
 > **Difficulty level**: Advanced  
-> **Project Size**: Large
+> **Project Size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/06_extension_sandbox_toolkit_unity/task.html)
 
 Description
@@ -261,7 +261,7 @@ The extension will focus on improved editor tools for drag-drop environment crea
 
 The toolkit will be built as a modular Unity package so it can be reused beyond this project and integrated into other Catrobat AR education initiatives.
 
----
+<hr>
 
 ### Web-Based Sandbox Toolkit for Marine AR Modules
 
@@ -270,10 +270,10 @@ The toolkit will be built as a modular Unity package so it can be reused beyond
 
 {: .highlight }
 > **Required Skills**: JavaScript, WebAR (WebXR), Three.js / A-Frame, HTML/CSS, Firebase, REST API, Git/GitHub, Basic Cloud & CI/CD, Blender  
-> **Possible Mentors**: :contentReference[oaicite:15]{index=15}, :contentReference[oaicite:16]{index=16}  
+> **Possible Mentors**: Somya Barolia, Shivendra Verma  
 > **Expected Outcome**: A lightweight, reusable Web AR Sandbox Toolkit for marine education  
 > **Difficulty level**: Advanced  
-> **Project Size**: Large
+> **Project Size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/07_web_based_sandbox_toolkit/task.html)
 
 Description
@@ -297,7 +297,7 @@ Expected Outcome
 - Simplified creation and sharing of marine AR modules via URLs
 - A foundation for extending Web-based AR learning across marine science topics
 
----
+<hr>
 
 ### AR Rocket Builder & Space Flight Sandbox
 
@@ -306,10 +306,10 @@ Expected Outcome
 
 {: .highlight }
 > **Required Skills**: Augmented Reality (ARCore/ARKit), Physics Simulation, Rigid Body Dynamics, Vector Math, Orbital Mechanics Basics, Unity & Flutter 3D Integration, Firebase, Cloud Sync, Git Version Control, REST API, DBMS, CI/CD  
-> **Possible Mentors**: :contentReference[oaicite:17]{index=17}, :contentReference[oaicite:18]{index=18}  
+> **Possible Mentors**: Himanshu Kumar, Abhishek Kumar  
 > **Expected Outcome**: An AR rocket construction and flight simulator where users build rockets in their real environment and launch them with physics-accurate behavior  
 > **Difficulty level**: Advanced  
-> **Project size**: Large
+> **Project size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/08_ar_rocket_builder_space_flight/task.html)
 
 Project Description
@@ -322,7 +322,7 @@ Educational overlays explain forces, center of mass, and orbital velocity using
 
 The architecture will allow reusable rocket parts, physics presets, and AR experiment modules for future aerospace learning features.
 
----
+<hr>
 
 ### AR Gravity & Planetary Physics Simulator
 
@@ -331,10 +331,10 @@ The architecture will allow reusable rocket parts, physics presets, and AR exper
 
 {: .highlight }
 > **Required Skills**: Augmented Reality Rendering, Newtonian Physics Simulation, N-Body Systems, Numerical Integration, Real-Time Optimization, 3D Visualization, Flutter, Unity Firebase, Cloud Systems, Git  
-> **Possible Mentors**: :contentReference[oaicite:19]{index=19}, :contentReference[oaicite:20]{index=20}  
+> **Possible Mentors**: Abhishek Kumar, Ashwani Kumar Moudgil  
 > **Expected Outcome**: An AR gravity sandbox where users create planetary systems in their room and observe real-time orbital mechanics  
 > **Difficulty level**: Advanced  
-> **Project size**: Medium
+> **Project size**: Medium  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/09_ar_gravity_planetary_physics_simulator/task.html)
 
 Project Description
@@ -347,7 +347,7 @@ Educational visualizations convert invisible forces into arrows, trails, and orb
 
 The system is designed as a reusable AR physics engine supporting scalable multi-body simulations for future educational modules.
 
----
+<hr>
 
 ### AR Interactive Physics Playground
 
@@ -356,10 +356,10 @@ The system is designed as a reusable AR physics engine supporting scalable multi
 
 {: .highlight }
 > **Required Skills**: AR Interaction Design, Physics Engines, Collision Systems, Real-Time Rendering, Mobile Optimization, Educational Game Design, Flutter, Unity, Firebase, Git, REST APIs  
-> **Possible Mentors**: :contentReference[oaicite:21]{index=21}, :contentReference[oaicite:22]{index=22}  
+> **Possible Mentors**: Shivendra Verma, Himanshu Kumar  
 > **Expected Outcome**: A modular AR physics playground that lets children run real-world science experiments in their environment  
 > **Difficulty level**: Advanced  
-> **Project size**: Large
+> **Project size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/10_ar_interactive_physics_playground/task.html)
 
 Project Description
@@ -370,7 +370,7 @@ Mini-labs include pendulums, ramps, projectiles, levers, bouncing systems, and g
 
 The playground acts as a reusable AR education framework where new experiments can be plugged in easily. It bridges abstract physics concepts with real-world spatial interaction.
 
----
+<hr>
 
 ### Sentiment Analysis of Cephalopods
 
@@ -379,10 +379,10 @@ The playground acts as a reusable AR education framework where new experiments c
 
 {: .highlight }
 > **Required Skills**: Java, Python, Machine Learning, Deep Learning, Multi-Modal Modelling, Knowledge Distillation, Model Optimization Techniques, Computer Vision, Git Version Control, GitHub, REST API, Authentication  
-> **Possible Mentors**: :contentReference[oaicite:23]{index=23}, :contentReference[oaicite:24]{index=24}, :contentReference[oaicite:25]{index=25}  
+> **Possible Mentors**: Aryavardhan Sharma, Krishna Mohan Patel, Himanshu Kumar  
 > **Expected Outcome**: An open-source multi-modal pipeline for automated cephalopod behavioral sentiment analysis  
 > **Difficulty level**: Advanced  
-> **Project Size**: Large
+> **Project Size**: Large  
 > **Task link**: [View task](https://aiotsonline.github.io/GSOC/projects/2026/11_sentiment_analysis_cephalopods/task.html)
 
 Description
@@ -403,10 +403,10 @@ The expected outcomes are to contain of:
 
 The project will help researchers, aquaculture facilities, and education/science communities by providing reproducible tools for cephalopod behavioral analysis. The system will be designed with extensibility in mind, supporting future datasets, species, and deployment environments (edge devices compatibility as well).
 
----
+<hr>
 
 ### Your own Project Ideas ...
-90, 175 or 350 Hours
+90, 175 or 350 Hours  
 {: .label .label-blue }
 
 {: .highlight  }