This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @udacity.

Files and Scripts to run Tesseract 5 LSTM Training using fonts

Predict the toxicity rating of comment made by the user.

A web app implemeted with ML algo to make prediction on stock data, made on Django framework.(Stock-Market-predictor)

Spelling correction using Deep Learning

Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency

Using LSTM Neural Networks to predict the future temperatures.

Scalable Data Pipeline for Stock Market Analysis with Reddit API and Yahoo Finance.

Towards Turnkey Brain-Computer Interfaces

基于计算机视觉的交通场景智能应用（流量预测部分）

Github Repository for LSTM-based system generating automated abstract of scientific articles

End to End Sentiment Analysis Project (Udacity Machine Learning Engineer Nanodegree)

This is just a simple RNN text generation model that generates new scripts of Friends TV Show.

Udacity DLND project with Facebook PyTorch Challenge Scholarship the original repo can be found at https://github.com/udacity/deep-learning-v2-pytorch

Predicting Citi Bike trip demand and analyzing need for bike rebalancing

AI Personal Trainer

Chatbot, LSTM, Bidirectional LSTM, NLP Classification

This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing

X-Ray Analyzer is a deep learning model which uses a combination of CNN to extract features from the X-ray images and LSTM networks to generate results.

Deploying sentiment analysis model with Sagemaker trained on the IMDB dataset using LSTM in PyTorch