Project Intro

Introducing a no-code AI/ML-powered data processing tool for content presentation, customer insights, and actions.

In today's age, data or information overload is a common problem for both businesses and consumers. When the amount of data is huge, a simple summary, even when produced by the most advanced AI models like ChatGPT, is often not enough. For example, Amazon.com now provides a summary of user reviews as a new feature, but when there are thousands of reviews, a short summary is not enough to help you make a purchase decision, and reading through a long list of reviews takes a lot of time and makes the user experience stressful.

This application is based on the cognitive principle of how people process and consume information. It utilizes the most advanced Al models and algorithms to transform a large amount of raw data into a format that is easily consumed by users.

The embedded web page on the left side contains user reviews for the MGM Grand Hotel in Las Vegas. As you can see, there are more than 40,000 reviews for this hotel alone, which makes it impossible for anyone to utilize all the information available. For this demo, a sample data set is collected and can be stored locally. Click on the upload button and see how the AI technology transforms the raw data into customer insights and business actions.

Instructions

Step 1: Provide a url and click fetch data to collect review data from a site

(Note: User-provided url input is disabled for the demo. A pre-collected data set of user reviews for the MGM hotel at Las Vegas has already been collected and a file named "MGM_Reviews.csv" can be downloaded locally from the below Download button. After downloading, use the Upload Data button in Step 2 to select that file for processing.)
Download Pre-collected Sample Data
Step 2: Upload data for processing

(Note: due to the long response time from multiple Al/ML models, if you select the pre-collected data file named "MGM_Reviews.csv", a pre-processed result will be displayed. If you want to use your own data, store your data in a csv file in the same format as the example data file downloaded. The processing will be limited to 300 words for this demo. For processing more data, please contact the developer at the bottom of page.)


Sample result (pre-generated)
Click the link below to see pre-processed results based on 100 user reviews of the Docker product, data collected from g2.com/products/docker-inc-docker/reviews and capterra.com/p/148132/Docker/reviews
Docker Reviews Demo
To enable all functions, please contact the developer at linfoprod98@gmail.com