CTE Issue

[h4seeb-cmd]

Overview

The project we have created is a combination of:

• One part which is a farming tutorial which teaches about the various aspects of farming, getting money for trading corn in the shop.
• The second half which is a mock sports betting app, which users can use the money gained from trading corn in the bets. This teaches the user about AI. This is all combined into one site where the users can access both parts simultaneously.

Key Features

Some key features of this project include:

Farming:

Phaser

This is the JS framework we used to create our educational farming platform, as it allows for intuitive development for game-esque frontend features. A key part of Phaser is the scenes that we must initialize when going to the next "game" screen, and using the preloader file (which loads all the assets specified on site launch), the scene will be populated with assets and the like.

Dynamic Tilemap:

Using the Phaser.js framework also allows us to work with dynamic tilemaps, which allow the user to interact with the game world and place things like dirt.

Planting + Growth logic

We have created a someone barebones demo which allows users to plant corn and grow it using the "week" button on the side. This then swaps the corn asset for a slightly more grown corn asset, and so on until enough weeks pass and the corn is fully grown. Then the user can hit the "save" button to send the data of the amount of corn the user has to localstorage, to be accessed in the shop

Shop

The shop allows users to sell their crop yields by accessing the localstorage to check for the corn stored in the previous feature. Then, the user can select the amount of corn they want to sell in comparison to the amount of corn they have, which is shown to them on the shop screen. The frontend also makes a request to a different API which allows for the user to see the current price of Corn Futures in the real world, and this will be how much their corn sells for per unit. The users can sell the amount of corn they desire, and so using the data from the localstorage along from the extrapolated data from the Corn Futures API, the amount of money given back to the player is calculated and sent to the backend.

Leaderboard

Leaderboard function which accesses the backend database to allow the users to see the rankings for the top 5 or so players with the most money

NBA:

Betting

Users can bet on their players, taking the money gained from the shop to bet. This is all done from one unified backend.

Drafting

Users can draft players into their roster, which is stored on the backend as well. These are the players they can bet on in the games.

AI Prediction

An ML model for predicting NBA game outcomes analyzes historical data on factors like team performance, player stats, home-court advantage, and more to forecast the likely winner of a game. It uses algorithms to identify patterns and relationships between these variables, enabling it to make predictions on future games. The model's output typically includes the probability of each team winning, helping users make informed decisions for betting, fantasy sports, or strategic planning.

Plans

Scrum Board:

Scrum Board

Team Roles

Farming Project

Establish Dynamic TileMap and planting logic, lock and pan camera system to different regions indicating effects of farming activity, animations to show increase in river turbidity, options to add fertilizers, pesticides, etc. Covering aspects of sustainable farming . Sreeja G. Haseeb B. Shreyas S. Tirth Thakkar

Unified Backend

Goals: Combine both elements present in the NBA Backend along with Farming Backend specifically with a core focus on the refactoring of the person object and login systems. Rohin Sood Vardan S. Tirth Thakkar

Frontend Launcher

Goals: Have a page that has two windows that can be minimized and maximized to showcase the different frontends and allow for the a viewer to be able to select between the two, similar to a video player. Akshat Vishnu Nikhil

Shop, Currency, & Sports Betting

Complete the unified currency system that can be used in both farming and NBA aspects of the project, complete and polish the shop system that is in place, along with completing the sports betting side of the project adding the needed elements to complete that functionality. With a core focus on having a story that ties these two projects together in a cohesive frontend style. Derrick Kaiden Vinay R. Ruanak

Analytics

Git Branch Management

[Orlando-c]

Notes:

Not a lot to do with iowa... however now introducing farming and TV! Sports betting Farming feature, accessing leaderboard and actual game itself map rendering for game using json bet your farming cash, statistical simulations agile manifesto good communiction after a rough start, brainstorming, great collaboration

Glows:

Grows:

[hsinaDitaM]

Glow:

• Iowa
• integrates two different software
• game + betting feature?
• they integreted it nice

Grow: -the map looks the sameinfinetly

• too freaky.
• nice project

[AniCricKet]

Very interesting project, I like how they integrated the 2 different projects. The farming of corn is very good and I like that they can use the currency from selling harvested corn and use that to bet on the sports. Some improvements are that the gambling frontend could be fixed, as it's hard to understand what team they are betting on. Also, the prediction model for who will win games is cool but needs to be integrated.

[TayKimmy]

Overview

NBA Betting System connected with farming project:

• Users can go to a shop and buy farming tools and use the same currency to bet on NBA games
• Fantasy Basketball League

Glows

• Nice integration of 2 features/projects
• Corn growing game looks good and functions
• Comment section looks nice
• Betting feature looks good

Grows

• Could have been a bit more prepared for their presentation
• Certain frontend aspects like display are buggy
• Could have integrated CSS sections
• Certain backend features are also slightly buggy

[PaarasPurohit]

Glow or Grow	Explanation
Glow	Working comments feature
Grow	Presentation not coordinated enough
Glow	Great farming game and system
Grow	Relation to farming and NBA not clear enough to new users
Glow	Standard API database functionality
Grow	No work put in to optimize database fetching
Total Score	0.7

[Emaad-Mir]

Glows

• Good hook to get the audience engaged
• Vishnu explains Monte Carlo simulation, how they calculate expected number of points, rebounds, etc., clearly very knowledgeable
• All team members are very knowledgeable about what the project is, clearly not just one or two people doing the work

Grows

• Looked a little unprepared at the beginning
• Presentation was a little bit rushed, could have slowed down so that everyone understood the different features

[DavidVasilev1]

Glows

• The Monte Carlo simulation is cool and it's interesting how it's integrated into the game aspect of the program
• The integration between the corn game and the NBA game is cool with how you make money and then use it for the NBA game
• The knowledge base behind everything is good, overall the project is pretty good

Grows

• I think that a bit more organization with the team could be good, especially with the beginning of the presentation
• The presentation seemed a bit rushed, with time at the end running out, but everything was presented
• A bit more UI could be added for the NBA game

[jm1021]

Giggle Juice was somewhat organized in intro and story, but failed to show anything new. The 1st period was a one man discussion, but I noticed they stayed late for CTE guests and got some engagement. We ran out of time for my review during 3rd.

Glows. After review and reading above the only thing I noticed that was new was unifying currency and I remember seeing it in logs.

Grows. Almost everything is a grow. The writeup above and the one viewed presentations does not have depth to suggest growth. It seems like members of team know what needs to be done, but personalities always get in the way. I have tried to ask new scrum masters to step up, but I feel like I am pushing on a rope.