Machine Learning + Flask Web App for predicting and optimizing wind turbine blade performance.

The full web application is deployed at:

👉 https://windturbinebladeoptimization.onrender.com

This project presents a complete machine-learning–driven pipeline for wind turbine blade structural behavior prediction and optimization.
It combines synthetic dataset generation, Random Forest regression modeling, interactive Flask-based prediction dashboard, and comprehensive visualization reports.

The goal is to help researchers, engineers, and digital twin developers simulate how turbine blade materials and geometry respond to load, pressure, vibration, and fatigue.

• Synthetic dataset generation
• Data preprocessing
• Model training and evaluation
• Model serialization using joblib

• Interactive input form
• Real-time predictions for:
  • Deformation
  • Stress
  • Strain
  • Factor of safety
  • Fatigue life
  • Damage index

• Input distribution plots
• Correlation heatmaps
• Scatter relationships
• Model feature importance (Tree-based)
• Actual vs Predicted curves
• Residual analysis
• Engineering relationship plots

All charts saved under /reports/figures.

• src/windturbine/data → dataset generation
• src/windturbine/model → ML model training
• src/windturbine/app → web app
• src/windturbine/visualization → plotting suite
• docs/ → reports & documentation
• assets/ → screenshots, extracted images

WindTurbineBladeOptimization/
│
├── assets/                     # screenshots & extracted PPT images
├── docs/
│   └── TECHNICAL_REPORT.md     # full engineering & ML report
│
├── reports/
│   └── figures/                # generated plots
│
├── src/
│   └── windturbine/
│       ├── data_generation.py
│       ├── train.py
│       ├── app.py
│       └── visualization.py
│
├── tests/                      # full CI test suite
│
├── synthetic_data/             # generated datasets
├── models/                     # saved ML models
├── README.md
└── LICENSE

Plots are auto-generated under /reports/figures.
Include:

python3 -m venv .venv
source .venv/bin/activate

pip install -r requirements.txt

python -m src.windturbine.data_generation --n 5000 --seed 42

python -m src.windturbine.train

python -m src.windturbine.visualization

python -m src.windturbine.app

pytest -q

Dinesh Chandra — TheComputationalCore

• GitHub: https://github.com/TheComputationalCore
• YouTube: https://www.youtube.com/@TheComputationalCore
• Passion: AI × Simulation × Digital Twins × Computational Engineering

This project is open-source under the MIT License.

This work is inspired by real-world engineering analysis, structural mechanics - "Analysis of wind turbine blade using ansys software" - my project during graduation.

If you like this project, consider ⭐ starring the repo!