Diabetic Retinopathy Disease Prediction using Machine Learning

Predict Diabetes based on medical predictors like pregnancies, BMI, insulin levels, age, and more.

The aim of this problem is to classify adults in two different groups based on their income where group 1 has an income less than USD 50k and group 2 has an income of more than or equal to USD 50k.

Performed customer segmentation using RFM analysis, PCA, KMeans, and Hierarchical Clustering to identify behavioral patterns and support targeted business strategies.

Developed a neural network-based system to recognize and beautify handwritten Bengali characters, enabling pattern recognition and classification with potential for multilingual expansion.

Developed a recommendation algorithm to identify and suggest relevant items to users by analyzing patterns in user data, enhancing personalized experiences.

Developed an Employee Management System to streamline HR processes, including employee data management, attendance tracking, and performance monitoring.