--How to Run the Leukemia Detection Project – Step-by-Step Guide.--

-Step 1: Install Python Install Python 3.8+ from https://www.python.org/downloads/

-Step 2: Project Folder Structure Ensure these files are in one folder:

project/ ├── app.py ← Streamlit App ├── xxxxx.h5 ← Trained CNN Model ├── eda.ipynb ← Exploratory Data Analysis (optional) -Step 3: Install Required Python Packages Open Terminal / Command Prompt and run:

-pip install streamlit tensorflow pillow numpy matplotlib

-Step 4: Run the Detection App In the same folder where app.py is located, run:

streamlit run app.py

-Step 5: Upload Image and Get Report A browser window will open.

Upload a .jpg blood smear image.

The system will display prediction & generate a diagnostic report.

You can Print or Download the report as .txt.

((OR ANOTHER PROCESS))

Run Leukemia Detection System via CMD (No Python Needed)

-Step 1: Prepare Your Project Folder Create a folder like this:

leukemia_project/ ├── app.py ← Streamlit App ├── xxxxx.h5 ← Trained CNN Model ├── eda.ipynb ← (optional – for analysis only)

-Step 2: Install Python & Add to PATH (One-Time Only) Download & install Python 3.8+ from: https://www.python.org/downloads/

During installation, check "Add Python to PATH".

-Step 3: Open CMD & Install Required Packages In CMD (Windows) or Terminal (Linux/macOS), type:

pip install streamlit tensorflow pillow numpy matplotlib

-Step 4: Run the Application Go to the folder in CMD:

cd path\to\leukemia_project Then launch the app:

streamlit run app.py

-Step 5: Use the App in Browser The browser will open automatically.

Upload a .jpg blood smear image.

You’ll get the prediction + downloadable diagnostic report.