Microlens

Microlens is a progressive web app designed to empower both healthcare providers and everyday users by offering accurate diagnosis and health education at your fingertips.

Model Performance

This project includes a train.ipynb file containing a model trained with DenseNet121 on the DiBas dataset. While this model exhibits strong performance, particularly in improving the accuracy of microbial classification for diagnostic purposes, it is generally outperformed by the Gemini bacteria classification benchmark.

Tech Stack

The following technologies were used in the development of Microlens:

• Frontend:

  • React, Styled-component, Typescript
  • Firebase Auth, Storage and Firestore
  • react-i18next

• Backend:

  • Python
  • Flask

• Machine Learning:

  • Python
  • TensorFlow/PyTorch
  • DiBas Dataset
  • Gemini Benchmark

• Database:

  • Firebase

• Other Tools:

  • Docker

Getting Started

To get started with Microlens, clone the repository and follow the instructions below.

Running the Client

1. Navigate to the client directory:

   cd client

2. Install dependencies:

   npm install

3. Run the development server:

   npm run dev

Running the Server

1. Navigate to the server directory:

   cd server

2. Activate the Python virtual environment:

   source venv/bin/activate   # On Linux/MacOS
   venv\Scripts\activate      # On Windows

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Python server:

   python main.py