Commit 1139c6d8 authored by K.Tharmikan's avatar K.Tharmikan

Update README.md

parent b6c5cb18
...@@ -38,11 +38,19 @@ ...@@ -38,11 +38,19 @@
1. how can you develop accurate and efficient multiclass classification models for song mood classification using base and frequency features ? 1. how can you develop accurate and efficient multiclass classification models for song mood classification using base and frequency features ?
2. what is the impact of different audio features on classification accuracy ? 2. what is the impact of different audio features on classification accuracy ?
**Individual Objectives**
> K.Tharmikan
**Main objectives**
1.To use a live camera to collect data and then train a machine-learning model using this data
2.To utilize a Support Vector Machine (SVM) algorithm for classifying facial expressions.
3.To provide personalized song recommendations based on the user's facial expressions
**Sub objectives**
1.To collect a dataset of facial expressions using a camera or webcam.
2.To preprocess and label the collected facial expressions for training the SVM model.
3.To train and evaluate the SVM model on the labeled facial expression dataset.
* Individual objectives
* Other necessary information * Other necessary information
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