INSight Diabetes

Project Overview: July 7, 2024

• Guide: Mr. Tavpritesh Sethi
• Tech Stack: Python, Biopython, Flask, HTML, CSS
• Project Duration: April 24 - May 24

INSight Diabetes is a web application designed to predict the potential risk of type 2 diabetes by analyzing Single Nucleotide Polymorphisms (SNPs) in the input gene sequence. The application collects and utilizes gene sequence data from NCBI and ClinVar databases.

Features

• Implemented a web interface to input and analyze gene sequences.
• Integrated SNP detection in gene sequences.
• Utilized NCBI and ClinVar databases to collect gene sequence data.
• Provided feedback based on detected SNPs and user-reported symptoms.

How to Run the Project

1. Clone the repository from GitHub:

    git clone https :// github .com/your − repo/INSight − Diabetes . git
   

2. Navigate to the project directory:

    cd INSight−Diabetes
   

3. Install the required dependencies:

   pip install − r requirements . txt
   

4. Set your email for Entrez:

    Entrez . email = "youremail@example.com"
   

5. Run the Flask application:

    python app.py
   

6. Open a web browser and navigate to:

    http ://127.0.0.1:5000/
   

Project Structure

• app.py : Main Flask application file.
• templates/ : Directory containing HTML templates.
• static/ : Directory containing static files (CSS, JS, etc.).
• requirements.txt : List of required Python packages.

Usage

Home Page:

1. Enter the INS gene sequence in the provided text area.
2. Select the symptoms that apply to the user.

Results Page:

Displays whether the user is at risk of type 2 diabetes based on the input gene sequence and selected symptoms.