• Prince Ajocha
  Email: [email protected]

• Abdulsalam Mohammed
  Email: [email protected]

• Abdulrahman abdulsalam
  Email: [email protected]

This project focuses on building an AI-powered personal tutor that promotes learning about crime and anti-corruption practices through interactive features. Our solution is designed to engage users with educational content, while also incorporating gamified elements for better retention and motivation.

1. Leaderboard/Grading System:
   We implemented a leaderboard or simple grading system that allows users to track their progress as they advance through different content and acquire more knowledge on anti-corruption and crime prevention strategies.

2. Q&A Game:
   A simple question-and-answer game that engage users by presenting various behavioral tricks and tips for being a dutiful global citizen. This provide an interactive learning experience while reinforcing key lessons.

1. Full access to the AI model from the backend canister:
   We plan to fully implement HTTPS outcalls on the Internet Computer Protocol (ICP). This feature will allow canisters to directly communicate with external HTTP(S) servers.

2. Dynamic content:
   All content both lessons and Q&A will be render dynamically from the canister using AI, this will allow the users to learn based on their experience and learning capability.

While adding these features to our existing repository, we faced several challenges. Due to technical difficulties, one is that we are not proficient in the svelte programming for the frontend as it keeps populating errors, we decided to write new code to integrate our intended features more efficiently.

For more information or inquiries, feel free to contact the team members via email: [email protected].

Deployed canisters.

URLs:

• Frontend canister via browser integral_education_frontend:

  • https://5tnn5-wqaaa-aaaan-qm4ia-cai.icp0.io/

• Backend canister via Candid interface integral_education_backend:

  • https://a4gq6-oaaaa-aaaab-qaa4q-cai.raw.icp0.io/?id=7oqdv-fyaaa-aaaan-qm4hq-cai

Welcome to your new integral_education project and to the Internet Computer development community. By default, creating a new project adds this README and some template files to your project directory. You can edit these template files to customize your project and to include your own code to speed up the development cycle.

To get started, you might want to explore the project directory structure and the default configuration file. Working with this project in your development environment will not affect any production deployment or identity tokens.

To learn more before you start working with integral_education, see the following documentation available online:

• Quick Start
• SDK Developer Tools
• Motoko Programming Language Guide
• Motoko Language Quick Reference

If you want to start working on your project right away, you might want to try the following commands:

cd integral_education/
dfx help
dfx canister --help

If you want to test your project locally, you can use the following commands:

# Starts the replica, running in the background
dfx start --background

# Deploys your canisters to the replica and generates your candid interface
dfx deploy

Once the job completes, your application will be available at http://localhost:4943?canisterId={asset_canister_id}.

If you have made changes to your backend canister, you can generate a new candid interface with

npm run generate

at any time. This is recommended before starting the frontend development server, and will be run automatically any time you run dfx deploy.

If you are making frontend changes, you can start a development server with

npm start

Which will start a server at http://localhost:8080, proxying API requests to the replica at port 4943.

If you are hosting frontend code somewhere without using DFX, you may need to make one of the following adjustments to ensure your project does not fetch the root key in production:

• setDFX_NETWORK to ic if you are using Webpack
• use your own preferred method to replace process.env.DFX_NETWORK in the autogenerated declarations
  • Setting canisters -> {asset_canister_id} -> declarations -> env_override to a string in dfx.json will replace process.env.DFX_NETWORK with the string in the autogenerated declarations
• Write your own createActor constructor