Predict. Protect. Prevent. FailGuard AI is an intelligent predictive maintenance system that classifies machine failures, diagnoses reasons for failures, and generates expert-level diagnostic reports using LLMs.

FailGuard AI combines Machine Learning (ML) and Large Language Models (LLMs) to:

• Predict machine failure based on real-time attributes.
• Classify the reason for failure (tool wear, overstrain, power, etc.).
• Generate natural language diagnostic reports automatically for operators and engineers.

It is designed to minimize downtime, prevent unexpected machine failures, and improve maintenance planning.
Dataset --> Click Here

The above figure shows methodology used.

Machine Learning Algorithms Ensemble Learning Algorithms Synthetic Data Generation:

• Synthetic Minority Oversampling Technique (SMOTE)
• Conditional Tabular Generative Adversarial Network (CTGAN)

Large Language Models: LLaMA-3.1-Nemotron-70B-Instruct Python Numpy Pandas Scikit-learn SMOTE CTGAN Streamlit

If you have any query, feedback or suggestion feel free to drop a mail at chetan.mahale0220@gmail.com :)