AI Way

Inspiration

Artificial Intelligence is a massive topic on its own, with all the tools present you can contribute to almost any problem present in the world. Knowing these we were quick to come into ideas on how to put these machine models into service, in particular, a problem that affects us all, such as traffic and violence on big and small cities alike.

What it does

We have a crowdsourced heat map that presents data of the city on real time, it recieves data parsed with NLP so that we recieve exactly what we need to share the data accordingly to our vision. These data is initially recieved through a chatbot that lives on whatsapp.

How we built it

The chatbot uses Twilio to comunicate with WhatsApp, then we use Deepl to get ready the input and with GPT-3 we do the parsing, from there it communicates to Postgre SQL and represent the alert in a map.

Challenges we ran into

Adapting to new technologies like Bootstrap that we later had to let go after learning that it wouldn't make the best fit with our project, and later learn another new technology from scratch.

Accomplishments that we're proud of

We managed to learn and use the Django framework while writing code in languages that we weren't familiar with like JavaScript and html/CSS, all of this to build a working project. This summed to the experience of consuming various APIs and handling them in efficient manners.

What we learned

We learned how to use Django to host a local application that has distinct endpoints to communicate with our chatbot, a database, and several API's. Apart from these, we also learned how to apply a good workflow that let us complete our goals in a limited time period.

What's next for AI Way

We could increase AI Way capabilities by hosting it in a high resources server, and by integrating another way to obtain useful data for the map. AI Way will always be for the community safety.

Built With

• deepl
• django
• gpt3
• postgresql
• twilio