Story
Karim is an Algerian full-time worker in the field of cars exchange, he used to suffer from travelling to far destinations either to car markets or to individual dealers, coming back empty-handed, because of his bad estimations of the market or because of problems with the dealers themselves, even when using other online solutions he faced the same problems. then comes dz auto, an intelligent machine learning based solution that he was introduced to it through a social media ad, using our solution he managed to find the cars he wanted with a suitable and studied price in a short amount of time, all that working in safe community, that takes into consideration his desires. All of his problems were solved because he was well assisted thanks to intelligent system.
Inspiration
The Algerian market is set to open its doors to car imports, which will likely result in an increase in the exchange rate for cars. To make the process easier for both buyers and sellers, an efficient website would be a great resource. This website would allow individuals to list their own cars for sale and browse a selection of cars to choose from.
What it does
The website offers a range of services, including a list of cars for sale powered by a search engine developed by our machine learning developers. Users can easily browse the list, search for specific models, and filter results by price range, region, and year. In addition, users can submit their own cars for sale on the website. Additionally, the website offers a chat service to facilitate easy, direct communication between buyers and sellers.
How we built it
First, the design department focused on the aesthetic aspect and layout of the website, creating visually appealing graphics to compete with other professional sites. Meanwhile, the back-end developers implemented a database to track signed-up users, sales announcements, and a live chat service. The front-end developers then integrated the design with the necessary data, displaying it for users to access. Finally, the machine learning department developed a recommendation system to provide more accurate search results and cater to the individual needs of each user.
Challenges we ran into
In the UX design process, it was a challenge to consider color psychology for the user and conduct an ideation phase to select the best template that would work for an e-commerce site in general and for Algerian users specifically. For machine learning, it was choosing the best model for the best results and accuracy As for the rest, it was a bit challenging creating the link and synchronizing between the front-end and back-end
Accomplishments that we're proud of
We have successfully developed the prototype of our solution, including both the front-end and back-end coding. While not all features have been implemented, we have completed the important ones and have successfully deployed the machine learning model.
What's next for dz auto
Currently, as this is only a prototype. We hope to complete the project and release the final version to the market.
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