Demo Moderate 4 milestones 100 marks

Predictive Maintenance Model

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

Predictive Maintenance Model — train a model on the NASA Turbofan Engine Degradation Simulation dataset to predict remaining useful life (RUL). Compare a linear baseline to an LSTM. Quantify business impact ($ saved per false-positive avoided).

Milestones

1. EDA + Baseline Linear Model

20 marks 7d

Load the C-MAPSS dataset (FD001). Build a linear regression baseline RUL predictor. Report RMSE.

2. Feature Engineering + Sliding Window

25 marks 12d

Engineer rolling-window features. Re-train the baseline with engineered features. Compare.

3. LSTM Implementation

30 marks 18d

Train an LSTM on the same dataset. Tune hyperparameters. Compare against baseline on test split.

4. Business Impact Analysis

25 marks 22d

Translate RMSE into $-saved-per-false-positive-avoided. Recommend whether the LSTM is worth deploying.

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Open internships using this project 2

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AI Engineer Intern — RAG-based Customer Support Bot

TechCorp Innovations · Remote · 12w

₹20,000/mo 2 of 2 seats

You will build a production RAG pipeline for our 50K-ticket support archive. Goals: reduce first-response time by 40% and ship a model with measurable accura...

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Quant Intern — Credit Risk Scoring (LightGBM)

FinEdge Analytics · Onsite · Pune · 16w

₹25,000/mo 1 of 1 seats

Build a LightGBM credit-risk model on our anonymized 200K-loan dataset. Compare against logistic-regression baseline. Productionize the winner with FastAPI +...

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Skills you'll learn

Pythonpandasscikit-learnTensorFlow/PyTorchTime-series feature engineeringModel evaluation

Tools used

Jupyterpandasscikit-learnPyTorchmatplotlib

Prerequisites

Linear algebra; intro ML; basic deep learning

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You'll earn — Certificate (PDF)

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Predictive Maintenance Model

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Predictive Maintenance Model

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