ReactJS / MongoDB Website Development

Closed
Rahi Tajzadeh
Rahi Tajzadeh He / Him
CEO
(74)
4
Project
Academic experience
200 hours per student
Student
Anywhere
Advanced level

Project scope

Categories
Data analysis UI design Website development Machine learning Artificial intelligence
Skills
mongodb react.js (javascript library) user experience (ux) user interface (ui) artificial intelligence
Details

Work with the great students at Humber College, who are developing the next generating of Consumer and Academic Feedback Platforms.


Your main function: To include an AI-powered Suggestions tool! Given that our feedback platform breaks down ratings into constituent components, the system will have the data to make accurate suggestions. We need YOU to help us with the AI Module. That is your MAIN area of focus!


The site is in Beta, and the new version will have improvements to the UI/UX and back end, and admin functions.


Students will be working in ReactJS/MongoDB (MERN)

Deliverables

Overall Project Goals:

Update and improve UI/UX, Back End, and Admin Functions

Add Functionality

Fix Bugs

Assist with Deployment


Your Goals:

AI Functionality to make Accurate Suggestions

Mentorship

Any and all support necessary will be given

About the company

Company
Canada
11 - 50 employees
Education, 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 โ€˜unlockingโ€™ 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)