Rebuild data flow
Data warehouse
KPI and metrics dashboard
Continuous AI with various models
on an MLOps platform.
Evalmee is a startup that automatically oversees students during their examinations. They use a camera to assess whether a student is cheating or not.
We designed machine-learning-based algorithms to assess the probability that a customer is cheating. To scale with millions of frames, we used an ensemble of very lightweight deep-learning-based models. We build a dataset to evaluate our algorithms. We deploy our solutions on AWS.
The city of Paris conducts each year participatory budgeting in which inhabitants decide how to allocate part of the municipal budget. The city has roughly 100k paper ballots and 50k electronic ballots.
We worked closely with the organization to upgrade their application, using an innovative ballot system, and enhance the overall user experience. We automatically decoded the paper ballots using advanced computer vision-based algorithms.
La Brasserie Barge is a brewery in the Greater Paris. It sels beerr to supermarkets, bars, direct customers, and festivals.
We have consolidated their customer databses, provided data visualization, customer lifetime prediction, and a marketing roadmap to allow them to scale up. We have also automatized several processes in the customer acqusition funnel.
Stanley Robotics is a startup that builds a robot lifting and
moving cars autonomously. Customers leave their vehicles in a
box and the robot takes care of it.
On a box, 5 cameras are picturing the license plate attached to a
car with high distortion. We designed machine-learning-based
algorithms to recognize the plate’s numbers. We build a dataset
with high-level annotations. We trained and evaluated our
algorithms on this dataset.
Finally, the models have been using cloud computing resources
to serve thousands of customers per day.