Image Classification Models: 98% Accuracy with MobileNetV2

Image Classification Models: 98% Accuracy with MobileNetV2Image Classification Models: 98% Accuracy with MobileNetV2

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Obokparo Esibe

• May 23

Built two image classification models on 20,000+ leaf images across 15 disease classes. First model: custom CNN achieving 95.5% accuracy. Second model: MobileNetV2 fine-tuned via transfer learning achieving 98.3% accuracy. Covered full deep learning pipeline — EDA, preprocessing, data augmentation, training, evaluation, and model comparison. Built with Python and PyTorch. Full code documented on GitHub.

Data Analysis Data Science GitHub Python Visual Studio Code

Zahra Abbas

• May 26

Developed a machine learning-based Heart Disease Prediction System with an interactive Streamlit interface for real-time prediction and analysis. The project involved data cleaning, exploratory data analysis, feature engineering, model training, and evaluation using Python and machine learning libraries.

The goal was to create a simple and user-friendly system that could help analyze patient health indicators and predict possible heart disease risk. Alongside the predictive model, the project also focused heavily on data visualization and interpretability.

Key tasks included: • Data preprocessing and cleaning • Exploratory Data Analysis (EDA) • Correlation analysis and visualization • Machine learning model building and evaluation • Interactive Streamlit web app development • Report writing and presentation preparation

Tools & Technologies: Python, pandas, matplotlib, scikit-learn, Streamlit

This project was collaboratively developed with my teammate Gaurina as part of a university machine learning project.

Data Analysis Data Engineering Python Machine Learning Engineering scikit-learn

Kenan Erdogan

• May 26

Built an interactive sales performance dashboard to transform business data into actionable insights. Used reporting and KPI tracking concepts to monitor trends, validate data quality, and support data-driven decision making through clear visualizations and business-focused analytics.

Business Analysis Data Analysis Microsoft Excel Microsoft Power BI SQL

Hacer K.

• May 26

AI Teeth Caries Detector With Website

The best assistant for dentists! Finds cavities in seconds. Skilled at convincing patients to undergo treatment. Reduces workload by preventing missed cavities.