🧠 Deep Learning Projects Collection

This repository contains a curated collection of deep learning projects implemented using various techniques and architectures including CNNs, MLPs, GANs, transfer learning, and object detection models.

📂 Project List

1. KNN Classification - A baseline machine learning classification using K-Nearest Neighbors.
2. Fire Detection (MLP) - Fire detection using Multi-Layer Perceptron.
3. Fire Detection (CNN) - Fire detection using Convolutional Neural Networks.
4. Smile Detection (MTCNN CNN) - Detecting smiles using a Multi-Task Cascaded Convolutional Network.
5. Covid Detector with Transfer Learning - Identifying COVID-19 from X-ray images using transfer learning (e.g., ResNet, VGG).
6. GAN MNIST Digit Generation - Generative Adversarial Network trained on the MNIST dataset.
7. CNN for Digit Classification & Recognition - CNN-based digit classification from handwritten digits.
8. FastRCNN Object Detection - Object detection using Fast R-CNN architecture.
9. YOLO Object Detection (YOLOv5) - Real-time object detection using the YOLOv5 architecture.
10. YOLOv8 - Multitask Vision Model - A complete pipeline using YOLOv8 for object detection, segmentation, classification, pose estimation, and tracking. Implemented via use_yolo_v8.ipynb.

🛠️ Tech Stack

• Python
• TensorFlow / Keras
• PyTorch
• OpenCV
• Scikit-learn

🚀 Goal

The goal of this repository is to demonstrate a wide range of deep learning techniques for real-world applications, useful for learning and research.