Caixa Enginyers mes a prop

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  Progress bar

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  Scheduling like Google Calendar

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  map of our web

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  Github readme

How we built it We devided the work in forntend and backend. For the forntend we build a web with Laravel (php). And backend with Python and Flask, modeling the Algorithm. (Simulated Annealing)

Challenges we ran into Finding a good modelizations and algorithm. Also the heuristic for calculating the optimal routes. Work with new frameworks, and moreover having to calculate distances from all pairs of cities. And little details like correcting the names of the dataset of small cities so the API recognised them inside Spain.

What we learned We paractised and learned Technologies and Tools, like Python for all the backend and data processing. Laravel (php): the main framework for the web application development. Tailwind (CSS): Used for efficient and flexible styling in the web. Flask: For building the APIs. Pandas: Employed for data manipulation and analysis, and working with .csv files. OpenStreetMap: Integrated for rich mapping functionalities. Leaflet: Employed for the interactive map in our web. Ngrok: Utilized for secure tunneling to connect IPs. Also working with APIs, and little thinks like improving the quality of the readme in Github.

What's next for Caixa Enginyers mes a prop Send SMS messages to the users so they can answer the feedback forms. Improve the feedback data collections and improving of the routes.

The problem Design a software capable of proposing optimized routes for a mobile office (van) which visits a set of municipalities. Everything satisfying some restrictions, like the working day, going to some places on certain days of the month, and having only 4 vans. The routs had to obey some requirements for the contest organized by the Generalitat de Catalunya.

Built With

• flask
• laravel
• ngrok
• openstreetmap
• pandas
• php
• python
• tailwind