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Web or Native App Development, Design, or Data Analytics

Fermé
Knowquest Inc.
Knowquest Inc.
Canada
Projet
Parcours académique
120 heures de travail au total
Apprenant.e
N'importe où
Niveau Intermédiaire

Portée du projet

Catégories
Aucune catégorie sélectionnée
Compétences
github mern stack jira user experience (ux) data analysis management
Détails

Work with London Metropolitan University 3rd year students on Web or Native App

Development, Design, or Data Analytics. MERN Stack w Discord and GitHub and JIRA as

management. Whether you are contributing as a UI/UX Front End Developer or a Back End

Developer, or Data Analysis contributor, the project revolves around KnowQuest.com,

an advanced feedback platform that let's users give meaningful and anonymized feedback,

and helps businesses avoid trolls and fake reviews, while getting more meaningful and

actionable feedback from their customers and their competitors' customers.

Livrables

Students can work on a variety of different tasks, including:


  • Web or Native App Development
  • Design
  • Data Analytics
  • MERN Stack
  • using Discord and GitHub and JIRA as management.

À propos de l'entreprise

Entreprise
https://knowquest.net/
Canada
11 - 50 employé.es
Éducation, Business services

KnowQuest is the next evolution in online feedback, built from the ground up to maximize the value and meaningful information of reviews.
KnowQuest replaces existing feedback mechanisms with one that uses a custom credibility check, more honest feedback, is more secure, drowns out trolls, and yields actionable results.
We built a superior feedback platform from the ground up to address the unique needs of reviewers, and to add the most value to the purchasers of aggregated ratings. The C.A.S.H. platform was born!

Credibility: Credibility is checked prior to ‘unlocking’ the ability to rate
Anonymity: Ratings and Reviewers are anonymous, aggregated, and carry no repercussions
Security: No personal information collected, stored, or sold (beyond some basic login info)
Homogeneity: Ratings are broken down, comparable, and meaningful (not just 1-5 stars)