Object Identification Web Application (AI)

Welcome to the Object Identification Web Application project! This web application allows users to upload images and get real-time object identification results using a trained deep learning model.

Table of Contents

• Project Overview
• Setup
• Usage
• Project Structure
• Model Training
• Acknowledgments
• Contact

Project Overview

This web application is built using the Django framework and leverages TensorFlow and Keras for the backend deep learning tasks. Users can upload images, and the trained model will identify the objects present in the images with accuracy.

Setup

1. Clone this repository to your local machine.
2. Run the Django development server: python manage.py runserver
3. Access the web application by opening your web browser and navigating to http://127.0.0.1:8000.

Usage

1. Open the web application in your browser.
2. Upload an image using the provided form.
3. Submit the form to get object identification results.
4. The web page will display the identified objects along with their confidence scores.

Project Structure

• project_root/
• app/
• static/ - Static files like CSS and JavaScript.
• templates/ - HTML templates for rendering pages.
• forms.py - Django form for image uploads.
• views.py - Django views handling image uploads and object identification.
• model/ - Location of trained Keras model.
• manage.py - Django management script.
• requirements.txt - List of required Python packages.

Model Training

The model was trained using TensorFlow and Keras. The dataset consisted of [describe your dataset and its source, if applicable].

Acknowledgments

• The pretrained Keras models from TensorFlow were used as a starting point for this project.
• [https://www.udemy.com/share/103BDa3@Q1xl8wdsTKoNg1W8CUeefMKEYC0ZqDhVzyyL7d-3kjI8P4Gqs8YKRucc-Tz91AEA-g==/].

Contact

For any questions, feedback, or inquiries, feel free to contact the project maintainer:

• Name: Jallepalli Harsha Vardhan
• Email: [[email protected]]