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

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

Using LSTM Neural Networks to predict the future temperatures.

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.

Quantitative Finance Research

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

AI Personal Trainer

Predicting Citi Bike trip demand and analyzing need for bike rebalancing

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.

Advanced NLP models using NLTK techniques enable chatbots to efficiently process and understand user queries related to technical university information, providing accurate and context-aware responses.

A solution to American Sign Language Detection using Deep Learning