Movie Recommendation System

I've developed a movie recommendation system that offers users five tailored movie suggestions based on their liked movies, utilizing a sophisticated filtering process that factors in user preferences, history, directors, actors, genres, and more, ensuring a personalized cinematic experience.

Image Classification

I've constructed a Convolutional Neural Network (CNN) based image classification model that effectively categorizes images sourced from the CIFAR-10 dataset, comprising 10 distinct categories and a total of 60,000 images, all standardized to a size of 32x32 pixels.

Stock Price Prediction Using ML and LSTM

In the comparative evaluation of stock price prediction models, which included Support Vector Classifier (SVC), logistic regression, decision tree, XGBoost, and Long Short-Term Memory (LSTM), it was found that SVC exhibited the highest predictive performance.