INDUSTRY USES CASES

Building a Facial Expression Recognizer

Challenge:

Build a Face Expression Recognition Tool by using advanced Computer Vision algorithms. You will be able to detect Happiness, Sadness and Other emotions from Human Faces in Real time Videos

Technology Components:

Machine Vision, Micro radar, Signal, processing, ML & AI

Time:

5 Months

Technology:

6+ technologies

Ressources:

5

NewsMiner

Challenge:

NewsMiner is a software solution to crawl through selected news websites and produce a meaningful visualisation of the topics & trends by clustering similar news articles.

These topics will be characterized by relevant tags which are generated automatically from the articles. This product is in development stage.

Technology Components:

Elasticsearch, Kibana, Django, Abstractive Summary & Tag Generation

Time:

3 Months

Technology:

5+ technologies

Ressources:

5

SherDoc

Challenge:

SherDoc is a custom Document Management System that can be used to store documents and then retrieve them by using their contents powered by Machine Learning and NLP.

The AI module will create keywords from uploaded documents and help in semantic search

Technology Components:

Abstractive Summary, OCR, Django, SQL

Time:

3 Months

Technology:

5+ technologies

Ressources:

5

Fruits Recognition using CNN

Challenge:

Solve a complicated Image Classification Task with Multiple Classes. In this Problem there are more than 50 different Fruits, So, we have to Train a Image Classifier which can recognize all the distinct fruits

The AI module will create keywords from uploaded documents and help in semantic search

Technology Components:

Abstractive Summary, OCR, Django, SQL

Time:

3 Months

Technology:

4 technologies

Ressources:

5

Customers Segmentation Engine

Challenge:

Divide the customer base into several groups of individuals that share a similarity in different ways that are relevant to marketing such as gender, age, interests, and miscellaneous spending habits.

The AI module will create keywords from uploaded documents and help in semantic search

Technology Components:

Abstractive Summary, OCR, Django, SQL

Time:

3 Months

Technology:

5+ technologies

Ressources:

5

KYRIOS SYSTEM AI ANTI FRAUD IN PUBLIC TRAIN

Challenge:

A large flow of passengers: Every day, several million passengers take public transit. It is therefore very difficult for ticket inspectors to recognize fraudsters.

There is a glaring lack of information about where fraud is most prevalent, even though data exists in several of the systems. This is one of the reasons for the low effectiveness of the fight against fraud. So there are ways forward:

Technology Components:

Abstractive Summary, OCR, PYTHON, SQL, Elasticsearch, Kibana, ML

Time:

3 Months

Technology:

5+ technologies

Ressources:

4

Contact Us

Enhance every aspect of operations and R&D initiatives.┬áTogether let’s see how Artificial Intelligence can help your organization.

Our address

45, Rue Wauthier 78100 Saint-Germain-en-Laye

Our e-mail address

contact@diversiti.fr

Phone

+33 7 89 67 87 91

Scroll to Top