Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
T
TMP-23-105
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
1
Merge Requests
1
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Analytics
Analytics
CI / CD
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
K.Tharmikan
TMP-23-105
Commits
1139c6d8
Commit
1139c6d8
authored
May 19, 2023
by
K.Tharmikan
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Update README.md
parent
b6c5cb18
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
10 additions
and
2 deletions
+10
-2
README.md
README.md
+10
-2
No files found.
README.md
View file @
1139c6d8
...
...
@@ -38,11 +38,19 @@
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 ?
**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
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment