101 Food Classification and Deploy with FastAPI

Created a deep learning model using convolutional neural networks with TensorFlow to classify an image as a type of which food for 101 classes by transfer learning with EfficientNetB0 and Implemented back-end side with Flask library to deploy the image classification model on web application.

Melbourne Property Price Prediction

a project focused on developing a price prediction model for properties in Melbourne, Australia. The primary objective of this project was to utilize Multiple Linear Regression, a statistical modeling technique, to predict property prices based on various independent variables.

Nephrotic Syndrome Prediction

Researched Nephrotic Syndrome and created a machine learning model to predict the probability of inducing Nephrotic Syndrome in children which used various algorithms to create a prediction model like XGBoost, Logistic Regression, and Multilayer Perceptron

Thai Sign Language Recognition and Translation

Created dataset of Thai Sign Language videos and using MediaPipe Library to mapping face, body and hands key points, also implemented LSTM Deep Learning architecture to make the model recognize patterns for each gesture also Implemented and deployed APIs with FastAPI