GoS_AI_Project

🧠 Overview

GoS_AI_Project is a deep learning system combining image classification and object detection. Designed for smart educational or security applications, this project uses powerful neural networks to recognize and detect objects in images, with a focus on deployment efficiency and accuracy.

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✨ Features

• ✅ Image classification using pretrained CNN models (ResNet, VGG16, MobileNet)
• 🎯 Image Classification with custom datasets
• 📊 Performance metrics visualization (Accuracy, F1-Score, etc.)
• 🧠 Future-ready with support for self-supervised learning and edge deployment

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🛠️ Tech Stack

🔹 Frontend

• React (for future real-time monitoring dashboard or visual results display)

🔹 Backend

• Django (REST API for serving predictions and managing models)

🔹 Deep Learning Frameworks

• TensorFlow / Keras
• PyTorch

🔹 Other Tools

• OpenCV – Image manipulation
• Matplotlib, Seaborn – Visualization
• Pandas, NumPy – Data manipulation
• Scikit-learn – Evaluation metrics
• Flask / FastAPI – Lightweight deployment
• Unsloth / LoRA - llm fine tuning

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🚀 Getting Started

• Click Me !

2️⃣ Github Organization

This is how this Repo is organized

/dataset
     /Act
          /Artistical-talent-detection
               /Datasets
               /Notebooks
          /Mathematical-logical-thinking
               /Notebooks
          /Singing-talent-detection
               /Notebooks
               /Datasets
                    /Audio-Preview
     /Engage
     /Investigate

🚧 Future Improvements

• 📚 Self-supervised learning for semi-labeled datasets
• ⚡ Real-time optimization (quantization, pruning)
• 🧠 Edge deployment on Raspberry Pi
• 🔋 Energy-efficient architectures

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🙌 Acknowledgments

• Inspired by Our Dear Professors (❁´◡`❁) & Personal Experiences

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👥 Authors

• idriss Ben Moussa ( RawCooked ) | GitHub
• Achref Baaboura | GitHub
• Khalil Tombari | GitHub
• Heni Ouerfelli | GitHub
• Maha Mansi | GitHub
• Azer Fattouch | GitHub