Added a comprehensive, future-proof description for the YOYO-AI project. The new description highlights core principles, autonomous capabilities, and the project's scalable architecture. Also updated the folder structure section for clarity and added a section on robotics integration.

YOYO-AI: An Autonomous Plant Monitoring Ecosystem
YOYO-AI is a groundbreaking project combining robotics and artificial intelligence to create an intelligent and sustainable ecological monitoring platform. Developed with a focus on future-proof innovation, this project is designed to tackle the challenges of modern agriculture and botany.

Core System Principles
Smart Integration: The system does not rely on a single technology. It integrates data from multiple sources—visual recognition, environmental sensors, and insights from over 21 leading AI models. This multimodal approach ensures deep and reliable analysis.

Continuous Autonomous Learning: YOYO-AI is a self-learning system. It independently improves its accuracy over time by analyzing data patterns, reducing the need for manual intervention.

Operational Efficiency: The system is optimized for extreme speed and real-time analysis. It is designed to run efficiently on dedicated hardware, ensuring seamless performance.

Scalable Architecture: The project's modular architecture allows it to grow and improve continuously. It can be easily upgraded with new models, sensor types, and advanced functionalities in the future.

YOYO-AI is not just a robot or an application; it is a futuristic platform that aims to provide advanced tools for monitoring and managing ecological systems.

Robotics Integration: The Heart of the System
YOYO-AI was built from the ground up to serve as the core intelligence for an autonomous plant-care robot. The robot-first design ensures the system can perform real-time data collection, on-site analysis, and instant feedback. While the system is optimized for robotic operation, its architecture also allows it to be used as a standalone service, leveraging visual and sensor data from any source. This dual functionality makes YOYO-AI a versatile solution.

Project Structure (Folder Description)
"The project is organized in a modular structure designed for future expansion. The current structure includes:

src/: Contains the main source code and core algorithms.

models/: AI models and a list of the models used.

data/: Training, testing, and sample data.

docs/: Technical documentation and system description."

README.md

@@ -1,13 +1,14 @@
 ---
-title: Planet Monitor YOYO
-emoji: 🏆
+title: YOYO-AI
+emoji: 📊
 colorFrom: purple
-colorTo: pink
+colorTo: green
 sdk: gradio
-sdk_version: 5.42.0
+sdk_version: 5.43.1
 app_file: app.py
 pinned: false
 license: mit
+short_description: 'YOYO-AI: Autonomous plant robot, analyzing images and sensor'
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference