Krishiv Mahendru

[Krishiv111]

Objective

The purpose of this sprint is to work toward creating a working leaderboard system through the backend and integration. Currently the backend has the class code data for each person in the stock game who joins a class, from this we will setup a way to rate people score based on the price that is sold and price that bought for by giving them a rating, then we will create a sort algorithm, and implement a leaderboard globally (all people that have played the game), I will also be working closely with Emaad as a peer check up on this feature in order to keep this lined u with everything.

TO DO

• [ ] create a way to give rating in users class
• [ ] add accurate stats testing
• [ ] create database for leaderboard
• [ ] sort the data of the rating
• [ ] work into creating the leaderboard
• [ ] organize the leaderboard and data base structure
• [ ] get data from backend and work with James in front-end

Schedule

• Monday: Create Plans and Visuals, Talk with Emaad to discuss peer checks and collaborate
• Tuesday: Create column in users data base to get scoring to work
• Wed: Setup Global leaderboard database
• Thursday: Debug database and implement sorting
• Friday: Work toward creating a full leaderboard and collaborate to place finishing touches and push to deployed backend and frontend.

What we will show

• We will show a working leaderboard that's implemented with the prediction models, and class codes, and stats.

[Krishiv111]

Here is A link of all things completed from the plan such as the leaderboard using sort and an iterator within the backend me and Emaad worked together on both ends with communication with other team members to stay aligned on features.

HERE IS THE LINK :https://github.com/CSA-AI/CSA_AI_Backend/issues/30