Hi, I'm Arpan Pramanik

Get accurate price estimates for cars based on key features like brand, model, mileage, fuel type, and more.

Estimate calories burnt based on age, weight, duration, activity type, and intensity.

Predict diabetes likelihood based on glucose level, blood pressure, age, and other health metrics.

Determine loan approval likelihood based on income, credit history, loan amount, and other factors.

Predict medical insurance costs based on age, BMI, smoking habits, and other factors.

Analyze movie reviews to determine positive or negative sentiments using LSTM models.

Identify waste categories from images using MobileNet, trained on the TrashNet dataset.

Identify different fruits and vegetables from images using a custom CNN model.

A dual-stage model that first classifies the type of fruit (e.g., Apple, Banana) and then predicts its quality (Good/Bad) using a multi-head CNN.