Projects done by our students.
The system processes the input (amazon or daraz product url)using NLP techniques and generates insights such as sentiment distribution, key terms, and overall product perception.
This project aims to develop a machine learning–based Maternal Health Risk Triage System that can assist in early risk prediction by analyzing patient health parameters and classifying pregnant women into different risk categories such as Low Risk, Medium Risk, and High Risk.
No description provided.
Using CVS datasets and common algorithms as mean, standared deviation sorting high to low.
No description provided.
The goal of this project is to analyze and predict student academic performance based on various factors such as study habits, attendance, parental education, socioeconomic background, and previous grades.
This project simulates a real-world business intelligence task, and deals with missing data, data types, and time-series analysis. Libraries Used: Pandas (heavily), NumPy, Matplotlib.
No description provided.