Code Canary provides early access to technological empowerment for youths who do not have access to formal training, computers and internet. By lowering the barrier of entry for acquiring crucial technological skills such as programming we can ensure that they have a greater chance at making it in an increasingly technological society. This is in response to high youth unemployment in spite of availability of tech jobs requiring programming skills and in pursuit of fulfilling the SGD 4: "Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all".

What it does

Code Canary achieves the goal by providing interactive learning through a friendly and conversational medium known as chat bots, leapfrogging the requirement for laptops and reaching mobile phones in even remote areas. Limits such as costly data plans are also alleviated by leveraging data plans that include free or discounted social media data plans bundles and delivering content through Facebook.

Code Canary presents content (text, graphics), activities (tasks, discussions) and assessment on basic programming skills.

How we built it

We came up with a topic aiming to teach basic coding skills to youth interested in app development. After brainstorming ideas on possible instructional formats, we agreed on adopting a messenger bot for instruction, as it presented the best opportunity for providing interactive, flexible yet affordable state of the art programming content. Building on messenger takes advantage of the facebook free basic data-light service which provides internet access to low income countries thus providing access for unemployed youth to learn from social media using smart phones. Moreover, mobile service providers in Africa offer cheap bundles to support access to social media platforms. To execute the project, we divided tasks among team members. Tasks included drafting the diagram flow which we did as a group, then we divided duties into two: setting up the messenger bot and cloning a sample code. The bot was divided into services such as the database, assignment service, messaging services, NLP which were assigned to different team members to develop and bring together. A demo version/prototype was hosted for review and redesigned before publishing the final version.

Challenges we ran into

  • Learning how to use the messenger bot was a challenge as none of the team members was conversant with it.
  • Given the contextual variations, adapting the NLP to user responses was a challenge
  • Designing the interactive flow for meaningful user experience was a challenge

Accomplishments that we're proud of

  • Developing an application that can provides skills to solve unemployment
  • Building a messenger bot

What we learned

  • The potential of the messenger platform for providing individualised instruction
  • Using a tech platform to solve a pressing issue in society
  • Insight into the 4 SDGs and the implications for tech solutions
  • Insight into content development for coding instruction

What's next for Code Canary

  • Make the bot more engaging and interactive
  • Advancing the content level from basic programming
  • Enabling the learners to publish the homepage they develop so as to market themselves

Built With

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