Research-Related

Personalized-Music-Recommendations-with-Multimodal-Deep-Learning

This repo includes the work of exploration and the usage of multi-modal deep learning – combining or concatenating different features or modes of data – like a song(Audio), its lyrics(Text) associated with its metadata (latent feature vectors) – like a key, tempo, genre, artist information, etc. passed in a combined hybrid neural network-based framework for training and eventually being used to generate personalised recommendations based on this hybrid combination of different modes of data and its associated metadata, rather than using individual non-ensembled networks for the training of different attributes individually. Recommendations being generated from the proposed multi modal deep learning framework provides enhanced personalized recommendations by sequentially processing and combining different modes of data.

Computing Semantic Distance between Text Inputs using Siamese Neural Networks

Reimplementation of Paper Siamese recurrent architectures for learning sentence similarity from MIT - https://dl.acm.org/doi/10.5555/3016100.3016291

Built using Natural Language Processing and Machine Learning,Emergency Ally is a Comprehensive Web App which can help you provide SOS or Emergency Level Solutions , In Case You encounter or see someone in any Danger or Disaster Situtations.

Emousicolor - Smart and Context-Aware System employing Emotions Recognition

Source Code For Work Described my published research Paper - “Smart and Context-Aware System employing Emotions Recognition”(https://arxiv.org/abs/2106.15101)

Sike-Tool - Remote Mental Health Monitoring Tool

Developed using NLP and CV, Our web application aims to analyze the user’s mental health using a common therapy technique–journaling. The user will submit diary entries into our application. In the therapist-patient scenario, they will be required to keep their camera on.