DESIGNING WITH WEB - Phase 1 : prototype


Reinforce career guidance experience for musicians based on machine learning.

Group 137
Apolline Desfossez, Quentin Durel, Agathe Ducasse, Emmanuel De Roys, Yao Tang.

Project 1: 1 Place 2 Perform

Context

We want to to create an application that could link musicians to places such as pubs, bars, restaurants... in which they can perform. In those places, they could be able to perform on stage in front of an audience that has the same musical taste as them.

In their professional context, musicians do not really benefit from a prodund career guidance. They struggle to find places in which they can perform in front of an audience adapted to their style.
Thus, there is a real need. Creating such an app that benefits to the musicans is a real project. This is an opportunity we are willing to take.

The main goal is to enable musicians to get more recognition and be more known by listeners that appreciate the kind of music they play. We truly want to gather people from different horizons but sharing the same passion for a special kind of music. Our goal is to expand live music and make it more accessible.

Targets

Our app is designed for musicians who search places to perform ans share their talent.

Offered service

A link between places and musicans.

We want to create an application using machine learning which will record a huge data base of bars, restaurants, pubs, night clubs and festivals, each associated whith a certain kind of music. Moreover, the professionnal will play music (guitar, piano, voice, etc). Before this step, he will have to click on a button to record his sound. A machine learning will recognize the type of music played by the professionnal and recommand few places to perform which correspond with it. If the professionnal can't record his performance, he will be able to submit a link (youtube, spotify, deezer, etc) and the machine learning will also recognize the type of music played and recommand places.

Our app is design for musicians. When they open the app, they will get a list of places that match with his personal style. they will select the one that offers the best features for him and get the disponibilies and a contact.

Our fantastic app can be downloaded on a cellphone or on a tablet.

Several services are offered.
On our app, a map is available for the users in order to locate the different places they are interested in. In this way, it's easy for the user to visualize the proximty of the different places located around him. He can also select the neighboorhoods he wanna target, and see those in which there are great opportunities for him. When he select a place, he can see disponibilities and contact the place.

The research is made by the type of music identified by the machine learning corresponding to the style of the musician (pop, rock, electro, metal, techno, classic, etc.) and or app will ask him his moving means in order to propose him a coherent list of places to perform.

Identity

An overview of a simplificated world made of music.


Benchmark

References


Project 2 : Work2Play

Context

Combine both work and music.

We noticed that our work can sometimes take a lot of time and we often don't have time to have extra activities so we want musicians to find part-time jobs and interim jobs while pursuing their passion.

Our application will use machine learning to reference all jobs that are available like part time jobs and interim jobs for musicians to manage associate both music and work. Our user (the musician) will search jobs with qualifications, skill etc. and those jobs will let them have enough time to play.

Target

Confirmed musicians

This application is addressed to confirmed musicians that have already a work experience and wish to pursue it.

Service offered

A convenient platform to find a job easily that respects your criteria in terms of jobs.

The application can be found on Android and Appstore and there will be a website. The user just has to give his name and a questionary will be have to be filled in with his address to find jobs near him. Then the application will give him a list of jobs respecting all the criteria.

Identity


Benchmark
References