Feynn-AI-Product-Prototype

This repository contains a DNA classification app for detecting E. Coli, developed during the Feynn AI Product Prototype Developement project.

Project Overview

Description

The project includes a web-based application that performs DNA sequencing to detect E. Coli. The application leverages machine learning techniques to classify DNA sequences accurately.

Features

• DNA sequencing and classification for E. Coli detection.
• Web-based interface for user interaction.
• Efficient data processing and classification.

Repository Structure

• mysite/: Contains the Django project files.
  • manage.py: Script to run the Django server and manage the application.
• DNA sequencing for detecting E.Coli.ipynb: Jupyter notebook with the DNA sequencing and classification code.
• image-1.png: Additional image resource.
• image.png: Additional image resource.

Installation and Setup

1. Clone the repository:

   git clone https://github.com/yourusername/Feynn-AI-Product-Prototype.git

2. Navigate to the project directory:

   cd Feynn-AI-Product-Prototype/mysite

3. Install the required dependencies

Running the Application

1. Navigate to the mysite directory:

   cd mysite

2. Run the Django development server:

   python manage.py runserver

3. Open a web browser and navigate to http://127.0.0.1:8000/home to access the application.

Files

• mysite/: Directory containing the Django project files.
  • manage.py: Main script to run the Django server.
• DNA sequencing for detecting E.Coli.ipynb: Jupyter notebook with the DNA sequencing and classification logic.
• image-1.png: Additional image file.
• image.png: Additional image file.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request for any enhancements or bug fixes.

License

This repository is licensed under the MIT License. See the LICENSE file for more information.