Raj Ratn Pranesh's repositories
Clean_Path_AQI
Project ‘Clean Path’ which uses IoT and Artificial Intelligence to create a map which optimizer pollution level and traffic on the based and on the basis of that provide the most optimum path balancing both environmental and traffic factor while suggesting a route. Working prototype gave accuracy of 84.24%.
Encap
2019 Summer software developer internship project. Working with Sagaci Systems as an Application Development Intern. My project was to develop and build a full-fledged progressive web-app. The software used are Node JavaScript, React and React Static. For front end designing and architecture using CSS "SASS" is used. The back end data management is done with GraphQL "GraphCMS" is used for backed side data input. Also API is used for the faceting real-time data from the storage
Automated-Medical-Assistance-Attention-Based-Consultation-System
Paper: https://openreview.net/forum?id=jYV4ZXy0L5
Speech_Emo
This repo is in development phase.
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
applied-ml
📚 Papers by organizations sharing their work on applied data science & machine learning.
Automatic-Hand-Sign-to-Text-Conversion
This project aims to create a computer application and train a CNN-based computer vision model which process the real time video of hand gestures of American Sign Language and shows the output for that particular sign in text format on the screen.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
BERT-related-papers
BERT-related papers
covid-19-tweets
Covid-19 tweets
data-science-interviews
Data science interview questions and answers
ExplorCOVID19
Website for COVID-19 Data Exploration.
multimodal-speech-emotion
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Question-Answering-Albert-Electra
Question Answering using Albert and Electra
speech-emotion-recognition
Multi-modal Speech Emotion Recogniton on IEMOCAP dataset