How can machine learning reduce patient wait times in hospitals?
That’s exactly what we explore in our Data Science Internship, where interns work on a real-time use case like:
Project Title:
“Predictive Queue Management System for Hospitals”
What is the problem?
Hospitals struggle to manage patient flow across departments, leading to bottlenecks and long wait times.
What do we do?
We use real patient check-in data to:
Analyze peak hours
Predict wait time by department
Recommend optimized appointment slots using regression models
Tech Stack You’ll Work With:
Python (Pandas, NumPy)
Scikit-learn & XGBoost for ML models
Matplotlib / Seaborn for Data Visualization
Streamlit for dashboarding
Jupyter for experimentation
What You’ll Learn:
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Predictive Modeling
Model Evaluation (RMSE, MAE)
Real-time Dashboard Integration
Want to work on this project from scratch with us?
Join our upcoming 1-month Data Science Internship.
Not just theory — this is real-time execution with mentorship, code reviews, and career support.
Next batch starts soon. Limited seats!
Call / Whatsapp us - 9342278992
Visit : cubensquare.com
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