Project
Conjunnect Four & Tug of Walrus
The client owned an educational platform that help students to learn verb and grammar through different activities that also includes learning games. Ed-tech learning platform has more than 4.2 million global users.
The client hired us to designed and developed a set of games for their verb learning platform that also included Tug of Walrus and Conjunnect four under multiple player games genre.
Tug of Walrus: The Shark Food!
Tug of Walrus is a verb game was improvised by Gamix Labs. The objective of the game is to give correct answers to the questions. Each correct answer gives you strength to pull the rope on your side, loser becomes the dinner of the shark.
Conjunnect Gameplay: Connect Four Coin
The client deployed Conjunnect Game on their portal, the Connjunect game's objective is to answer the question and collect coins then connect four coins using Up, down, left and right button of the keyboard.
What was the client expectations from our development team?
The client asked us to improve gameplay of the game based on verbs and grammar learning. They asked us to develop games with the following features:-
- The gameplay and graphics should be exciting.
- Should be multiplayer that can be played between two players or more.
- Users can invite their friends to play the game.
- CShould be capable to manage multiple rooms and huge number of users simultaneously.
- Admin panel for verb customization and overall game management.
Our development team fulfilled expectations through
- Gamix Labs development team created premium graphics to fulfill the game requirements and used animations in different parts of the games to make it more exciting and futuristic. We organized and managed game objects to give a flawless gaming experience to users. In tug of walrus, we animated all the characters and environment to put it in shape in an exciting game.
- We designed both games which works on a turn-based gameplay system. We also tackled related drawbacks by offering an option to play game at run-time with opponent.
- Google machine learning was integrated to enable players to invite friends and play against them as opponents.
- An admin panel was developed for platform management, allowing administrators to add questions and configure difficulty levels within the games.
- Scoreboard and leaderboard features were added, enabling users to track performance and view rankings during gameplay.