Deep Learning Projects

This repository contains various deep learning models for different applications, including speech emotion recognition, image classification, and outfit recommendation. Below you will find descriptions of each project.

Project Overview

Speech Emotion Recognition (SER)

• Description: This project aims to recognize emotions from speech audio files. The model is trained on the RAVDESS dataset.

• Dataset: RAVDESS Emotional Song Audio Dataset

• "Emotion_Recognition.html" - Contains code for training and evaluating the speech emotion recognition model.

Image Classification with CNN

• Description: This project classifies images into various categories such as tops, shirts, pants, accessories, shoes, etc., using Convolutional Neural Networks (CNN).

• Dataset: Polyvore Fashion Dataset - Fashion images categorized into different types.

• "CNN.ipynb" - Code for building, training, and evaluating the CNN model.

Neural Collaborative Filtering (NCF) for Outfit Recommendations

• Description: This project recommends outfits based on the occasion (business, formal, casual, party) using Neural Collaborative Filtering.

• Dataset: Fashion-related data for collaborative filtering.

• "NCF.ipynb" - Code for the NCF model used to generate outfit recommendations.

Thank you!