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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.