NLP Based Paraphrasing / Article Rewriting Demo - www.demos.pragnakalp.com/gpt2-text-generation

NLP Based Paraphrasing / Article Rewriting

We have developed advanced NLP model to help budding writers write better by offering them paraphrasing of sentence. Input one sentence and our model will come up with various ways to write the same sentence in different manner. It is even capable to paraphrase/rewrite the whole article.

NLP based Resume Parser in Python (Beta)

NLP based Resume Parser in Python (Beta)

Extracting information from resumes is tricky as resumes don't come in set format. We have took it as a challenge and developing this NLP based system which will be able to fetch various information from resume like Name, Phone number, Email, Skills, Address, University, Designation, Work Experience, Companies worked for and much more.

Named Entity Recognition Demo

BERT and BIOBERT Based Named Entity Recognition (NER)

Our demo of Named Entity Recognition (NER) using BERT extracts information like person name, location, organization, date-time, number, facility, etc. from the given input. And our demo of Named Entity Recognition (NER) using BIOBERT extracts information like Anatomy, Disease, Protein etc. from the given input. Try with your own input and provide your feedback.

GPT2 Text Generation Demo - www.demos.pragnakalp.com/gpt2-text-generation

GPT2 Text Generation

Machines are capable of writing content now! Using GPT2 we have created a text generation system which writes on the given input. Just provide your input and it will complete the article. Also, you can check thousands of articles created by Machine on our website: MachineWrites.com - Fully AI based GPT2 Generated Articles Demo

Smart Chatbot Using BERT & Dialogflow - https://demos.pragnakalp.com/bert-chatbot-demo-large-text

Text Summarization

Text summarization using machine learning and artificial intelligence.

 Movie Recommendation System

Movie Recommendation System

We have created this movie recommendation system which uses BERT embedding to generate recommendations.

NLP based Resume Parser in Python (Alpha)

Product Recommendation System

We created the demo of this product recommendation system which works on the liking of products by the users

Question Generation System

Question Generation System

Explore our Natural Language Processing (NLP) based question generation system developed using T5 transformers model.

Sentiment Analysis - www.demos.pragnakalp.com/bert-sentiment-analysis

Sentiment Analysis

Using various methods and algorithms we have developed multiple Sentiment Analysis demos. Try them out!

Emotion Detection

Emotion Detection

Detect emotions like Love, Joy, Anger, Fear, Sadness, Surprise from the text based data.

Emotion Detection System

Audio Emotion Detection

Detect emotions like Love, Joy, Anger, Fear, Sadness, Surprise from the user audio or pre-defined audio samples.

BERT based chatbot - https://demos.pragnakalp.com/bert-chatbot-demo?language=english

Closed-Domain Chatbot using BERT

Unlike our BERT based QnA system, you can get quicker responses for your queries. It looks like a proper chatbot with a caveat that it is closed-domain which means it fetches answers from given paragraph only. It is available for multiple languages.

BERT based QnA - https://www.pragnakalp.com/demos/BERT-NLP-QnA-Demo/

BERT based QnA

Question and Answering system from given paragraph is a very basic capability of machines in field of Natural Language Processing. Test our BERT based QnA with your own paragraphs and your own set of questions. Not only for English it is available for 7 other languages.

Smart Chatbot Using BERT & Dialogflow - https://demos.pragnakalp.com/bert-chatbot-demo-large-text

Smart Chatbot Using BERT & Dialogflow(Beta)

Try your hands on our most advanced fully Machine Learning based chatbot developed using BERT and Dialogflow. In this closed-domain chatbot you can ask question from the book "India Under British Rule". Now our BERT based system fetches answer within 3-4 seconds (without GPU) from the text of half a million characters length.