omanAI - Intelligent Object Detection System

omanAI is a state-of-the-art object detection system powered by YOLOv8, providing real-time analysis with detailed classification results and annotated output images.

Features

• 🚀 Instant image analysis with YOLOv8 model
• 🔍 Object detection with confidence percentages
• 📥 Download annotated images with bounding boxes
• 🌈 Modern web interface with animations
• 📱 Fully responsive design
• ⚡ Fast processing (<5 seconds average)

Installation

Prerequisites

• Python 3.8+
• pip package manager

Setup

Clone repository

git clone https://github.com/akuonj/omanAI.git
cd omanAI

Create virtual environment

# Windows
python -m venv venv
.\venv\Scripts\activate

# Ubuntu
python3 -m venv venv
source venv/bin/activate

Install dependencies

pip install -r requirements.txt

# Create initial migrations
python manage.py makemigrations

# Apply database migrations
python manage.py migrate

Usage

Start Server

Production (Linux):

gunicorn --bind 127.0.0.1:8007 object_detection_ui.wsgi:application --daemon

Development (All OS):

python manage.py runserver

Access the application at:
🌐 http://127.0.0.1:8007 (Production)
🌐 http://127.0.0.1:8000 (Development)

How to Use

1. Upload Image
   Click "Choose File" and select any JPG/PNG image

2. Analyze
   Click the "Analyze" button

3. View Results
   See detected objects with confidence percentages

4. Download
   Click "Download" for annotated image

Technical Details

• Model: YOLOv8 (Ultralytics implementation)
• Classes: 80 common object categories
• Framework: Django
• Interface: Tailwind CSS + Anime.js

Support

For support or feature requests:
📧 Joshua Otieno
🐛 Issue Tracker
👨💻 GitHub Profile