Rep Alert

rep building
rss feed from website

Inspiration

businesses are in serious danger from a simple cell phone . somebody's reputation can be ruined with 20 characters of text.For businesses it's the reputation or goodwill of the business that matters .Maintaining your reputation is something that's ever been able to be done before so how are we going to protect the reputation of your business. ' It takes 20 years to build reputation only 5 minutes to ruin it.' -Warren Buffet .We were inspired by one of our members to Navigate the complex world of social media.

What it does

Create alert with keywords .

It takes Rss feed of website, it converts links title description into API with node-red. RepAlert fetches monitoring Api From frontend dashboard. if_brand mentioned get document analysis of brand mentioned .get the summary for mentions.get keywords of topics and brands mentioned. It provides a base for conducting social media monitoring .and anything you setup ,any comment is reported to the system.create an alert . for each bucket of mentions ,the functionality of The sentiment analysis Knowledge model was used on an analysis on mentions feed to get the tone and Sentiment of was pasted .and Filter the relevant data .A social- media monitoring system so that if anything is said about your brand about your products, you will know.

How we built it

We broke down our goals into micro steps. Decided on a Use case of Software reviews , social messages are things. How will business , track brands and commentsl? How to add and monitor Reviews comments online. Used React and drag-and-drop development to create Backend Api to rss feed to Collect the Data online .gives the ease to user to use. Used React to build the RepAlert integration with ExpertAi. integrated into the Expertai NL API sentiment Knowledge model. Created Alert web mashup example in Vue That give ability to Add new Monitor feeds online.

Alt works

Challenges we ran into

Same site Issues in connecting Backend Api.

Accomplishments that we're proud of

Satisfied that most of the features was implemented

What we learned

-How to Create alert .
-How to make a Media Monitoring stack to analyze Mentions . That the expertAI sentiment model is flexible to handle many use cases.