Team Name | YohoStay |
Track | Startups |
Use Case | All in One integrated platform for DIY rental property management |
Technology |
SAS Viya (Visual Text analytics), HTML, CSS, Javascript, SQL, |
Region | AP |
Team lead | Nagendra Yadav |
Team members |
@NY-Synk (Nagendra Yadav) @AashnaSharma (Aashna Sharma) @Tejas_Dabhi1 (Tejas Dabhi)
|
Final Submission Short Video -
Final Submission Long Video -
Hi Nagendra,
I'm Swiki, a UX/UI Designer from Perth. I'm very interested in your use case. I'd like to be a part of your team and contribute from UX/UI perspective.
Cheers.
Hi @Swiki Thanks for showing your interest in our project. We could surely use some help in UI/UX area. Just send your profile at ny@synk.consulting and we will take it from there?
Regards,
Nagendra
Team YohoStay, nice work with AI, ML and Text Analytics.
Hi YoHoStay,
Can you eloborate if possible where the AI/ML is embedded in your business process? Where do you use Text Analytics and some of the ML algo's?
Thanks
Hi @Shyam2021,
Thanks for reaching out. We use Text Analytics to process feedbacks provided by the ex-landlords and other references (personal and professional) of a prospect Tenant for sentiment analysis. This gives us a score which we use to decide whether feedback was Positive, Neutral or Negative.
We generate a comprehensive tenant profile score based on Sentiment analysis, Financial stability, Tenancy database checks, Identity Documents checks, bankruptcy proceedings and court judgments, which helps the Property owners to shortlist the candidates and make their decisions faster in Tenant selection process.
We will also be adding Tenant profile matching feature which will help Tenants find compatible roommates in shared living (Co-living) arrangements.
I hope this clarifies your query.
-Nagendra
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