AirportLabs

About AirportLabs

You will be part of a team that will develop a new product during the internship period, under the guidance of a project manager and our mentors. Focused on those who want to understand the marketing of a company. At the end of the internship period you will have notions about production concept, product selling concept, marketing concept, societal marketing concept, aviation. Good products can be implemented in production! We Need You For: Conduct market research to find answers about consumer requirements, habits and trends Brainstorm and develop ideas for creative marketing campaigns Assist in outbound or inbound marketing activities by demonstrating expertise in various areas (content development and optimization, advertising, events planning etc.) Liaise with external vendors to execute promotional events and campaigns Collaborate with marketing and other professionals to coordinate brand awareness and marketing efforts Plan and execute initiatives to reach the target audience through appropriate channels (social media, e-mail, TV etc.) Assist in analyzing marketing data (campaign results, conversion rates, traffic etc.) to help shape future marketing strategies Undertake individual tasks of a marketing plan as assigned (SW, Front end, back end, UI / UX) Airport passenger flow simulator It allows an operator to model human trafficking through an airport and simulate scenarios (SW, Front end, back end, UI / UX) Airplane flow simulator between airports It allows an operator to model aircraft traffic between airports and simulate scenarios (ML / SW) Automatic detection of anomalies in the data flow Detection of abnormal situations by analyzing the flow of data from an airport. (ML / SW) Automatic classification of text message content (tweet, chat) Classify a short text as positive / negative and block the curses. (ML / SW) Prediction of departure time of an aircraft, arrival time of an aircraft Predict with high accuracy the time at which a plane is ready to fly, analyzing in real time the data about that flight. (ML / SW) Prediction of the number of passengers in an area of the airport Analyzing historical and real-time data, the number of passengers in an area of the airport must be predicted. (SW Front end, back end) Business rule editor (business programming language) Develop a programming language or visual programming interface that allows an inexperienced operator to model business decisions and processes. (SW / ML / HW) Development of a video sensor for image recognition (software for a hardware platform) Develop a robust firmware for video sensors for airport monitoring (ML / SW) Development of a video recognition platform for airport operations Development of a platform that allows real-time identification of operations performed on an airplane (luggage, fuel, people, etc.) from video images.

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