Eoghan Chevé

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Ongoing projects :

Distance-based amino acid conservation score

Details

This project is the follow-up of my L3 research internship. I am currently implementing and testing the model I've created.

➡ Websites mapper

Details

This project is based on a joint work with Nicolas Vincent as part of the L3 Systems and Networks course.

The original work consisted of a C program that, given a URL, could retrieve and parse the associated HTML page. My goal is now to implement, thanks to the previous work, a bot that recursively retrieves the pages of a website and returns a graph representing its architecture.

Previous projets :

➡ "Infératrice"

Details

This project was made with Armand Ledoux and Tom Goalard as part of the Concepts of programming languages course

It is an OCaml program that, given set of rules, can infer a proof tree to answer a query.

RTF for cardiovascular disease detection

Details

This project (from 2022) is an hard-coded implementation of a Random Tree Forest. The algorithm was trained to detect the presence (or absence) of cardiovascular disease in patients based on their symptoms.

CNN for traffic sign recognition

Details

This project (from 2023) is an hard-coded implementation of a Convolutional Neural Network. The algorithm has been trained to recognize pictures of traffic signs.

Although it was my TIPE 2023 subject, this is first of all a project I started in order to learn the concepts behind CNNs, not with the aim of getting results like the RTF project - if it was the goal, I would have used a library made for that.