The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.

This sentiment analysis API uses Flask-restful and provides a positive or negative sentiment response to input query.

A sentiment analysis and web-sockets application with twitter's streaming api

Sentiment analysis on tweets analyzing any trade-able asset (Cryptocurrency) using Machine Learning and statistical classification model

A bespoke NLP Chatbot trained using a corpus of Reddit data.

Natural Language Processing pipeline including fundamentals, feature engineering and modeling.

Not your normal social media market!

Braggi is a Python based Contextual Chatbot Framework, which hopes to integrate all the necessities for a great chatbot framework, to satisfy both enterprise and general audiences alike. Development still underway, more features on the way 😄

OfficeBot is a simple conversational chat bot web app built on Flask and ChatterBot for answering questions regarding office hours.

Are you feeling bored? Well never again because! Our little digital friend Sophie is here for you to talk. Ask her questions, tell her about yourself and she will listen and interact with you always.

This repository contains two Python scripts for Natural Language Processing (NLP) tasks and text summarization, as well as a requirements.txt file specifying the necessary dependencies.

In this repository, the project on NLP-based chatbot that generates responses based on the command given to the system.

Applying natural language processing to understanding the latest sentiment of news articles featuring Bitcoin and Ethereum.

Exploratory Analysis of Amazon Product Reviews Dataset comprising of various categories spanning over 14 years

This is an information retrieval engine running on the shoulders of ntlk library.

I developed a Flask application using NLTK and Docker. Within the application, I created a JSON file named intents, which contains various questions and answers. The Chatbot in the application responds to user queries using the data provided in the intents file.

Data Science Project for Udacity's Data Scientist Program. Here I created a webapp and ML/NLP pipeline that analyzes message data for disaster response and shows classification results.

Here are some of my projects implemented during the training in Yandex.Practicum

ML model for rating prediction with NTLK and Scikit-learn.