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
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Description: This project aims to recognize emotions from speech audio files. The model is trained on the RAVDESS dataset.
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Dataset: RAVDESS Emotional Song Audio Dataset
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"Emotion_Recognition.html" - Contains code for training and evaluating the speech emotion recognition model.
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Description: This project classifies images into various categories such as tops, shirts, pants, accessories, shoes, etc., using Convolutional Neural Networks (CNN).
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Dataset: Polyvore Fashion Dataset - Fashion images categorized into different types.
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"CNN.ipynb" - Code for building, training, and evaluating the CNN model.
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Description: This project recommends outfits based on the occasion (business, formal, casual, party) using Neural Collaborative Filtering.
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Dataset: Fashion-related data for collaborative filtering.
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"NCF.ipynb" - Code for the NCF model used to generate outfit recommendations.
Thank you!