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1. IntelliAgro-an-AI-powered-autonomous-AgroDrone IntelliAgro-an-AI-powered-autonomous-AgroDrone Public

   IntelliAgro Drone is a final year project that uses AI and a drone to help farmers detect crop diseases and spray only the affected plants. It uses the YOLO deep learning model for real-time detect…

   JavaScript 1

2. Custom-VGG16-for-Crop-Disease-Detection Custom-VGG16-for-Crop-Disease-Detection Public

   This project implements a custom deep learning model for detecting crop diseases from images. The solution uses a custom-designed VGG16-style architecture, rather than a pre-built model, as its bas…

   Jupyter Notebook 1

3. Gender-Based-Celebrity-Recognition-System-YOLOCNN-PIPELINE Gender-Based-Celebrity-Recognition-System-YOLOCNN-PIPELINE Public

   This repository contains a Python project for a gender-based celebrity recognition system. The core of the system is a pipeline that integrates two distinct machine learning models.

   Jupyter Notebook 1

4. Hand-Sign-Detection-Complete-System Hand-Sign-Detection-Complete-System Public

   The application uses a custom-trained YOLO model (model.pt) to detect and classify several hand signs, including "hello," "ok," "no," "ilv," and "thank you." The system includes user authentication…

   Jupyter Notebook 1

5. MNIST_CNN_Learning_Rate_Grid_Search MNIST_CNN_Learning_Rate_Grid_Search Public

   This repository contains a Jupyter Notebook that implements a Convolutional Neural Network (CNN) for image classification on the MNIST dataset. The code includes a grid search to find the optimal l…

   Jupyter Notebook

6. multi-class-custom-made-nerual-network-for-comlpex-food-detiction multi-class-custom-made-nerual-network-for-comlpex-food-detiction Public

   multi class custom made nerual network for comlpex food detiction

   Jupyter Notebook 1