From 75472c0ed6d510ea135be9e669daa539fdf256cb Mon Sep 17 00:00:00 2001
From: Oumaima Fisaoui <48260689+Oumaimafisaoui@users.noreply.github.com>
Date: Thu, 5 Sep 2024 15:35:33 +0100
Subject: [PATCH] Chore(DPxAI): Fix format

---
 subjects/ai/emotions-detector/README.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/subjects/ai/emotions-detector/README.md b/subjects/ai/emotions-detector/README.md
index b5c9c3678..5839eea77 100644
--- a/subjects/ai/emotions-detector/README.md
+++ b/subjects/ai/emotions-detector/README.md
@@ -14,9 +14,8 @@ For this project we will focus on two tasks:
 
 With the computing power exponentially increasing the computer vision field has been developing exponentially. This is a key element because the computer power allows using more easily a type of neural networks very powerful on images:
 
-- CNN's (Convolutional Neural Networks). Before the CNNs were democratized, the algorithms used relied a lot on human analysis to extract features which obviously time-consuming and not reliable. If you're interested in the "old
-  school methodology" [this article](https://towardsdatascience.com/classifying-facial-emotions-via-machine-learning-5aac111932d3) explains it.
-  The history behind this field is fascinating! [Here](https://kapernikov.com/basic-introduction-to-computer-vision/) is a short summary of its history.
+- CNN's (Convolutional Neural Networks). Before the CNNs were democratized, the algorithms used relied a lot on human analysis to extract features which obviously time-consuming and not reliable. If you're interested in the "old school methodology" [this article](https://towardsdatascience.com/classifying-facial-emotions-via-machine-learning-5aac111932d3) explains it.
+The history behind this field is fascinating! [Here](https://kapernikov.com/basic-introduction-to-computer-vision/) is a short summary of its history.
 
 ### Project goal and suggested timeline