Skip to content

Commit

Permalink
Browse files Browse the repository at this point in the history
  • Loading branch information
ARYAHARIDAS06 authored Jun 11, 2024
1 parent bffd6df commit cc5dd90
Showing 1 changed file with 4 additions and 7 deletions.
11 changes: 4 additions & 7 deletions profiles/[email protected]
Original file line number Diff line number Diff line change
Expand Up @@ -8,19 +8,16 @@
## Portfolio Highlights

### My Projects

| Name | Description | Hosted Link | Repo Link |
|---------------------|---------------------------------------------------------------------------|------------------------------------------|----------------------------------------------------------------|
| **DEEP FAKE Detection
using machine learning** || Developed a deep fake image detection system utilizing Machine Learning techniques.
using machine learning** | Developed a deep fake image detection system utilizing Machine Learning techniques.
Trained a model using VGG-16 on a dataset of authentic and manipulated images.
Implemented a Flask-based web application for user interaction and real-time image analysis
Integrated the ML model to classify images and identify potential deep fake content.
|||||| **Real-time Drowsiness Detection in Drivers (CNN)** | Developed a CNN-based model to detect drowsiness in drivers in real-time.
| Utilized computer vision techniques to analyze facial features and eye movements for signs of drowsiness.
Integrated the ML model to classify images and identify potential deep fake content. | [Host | |
| **Real-time Drowsiness Detection in Drivers (CNN)** | Utilized computer vision techniques to analyze facial features and eye movements for signs of drowsiness.
Trained the model on a dataset containing images of alert and drowsy drivers, achieving.
Implemented the model using Python and OpenCV for video stream processing
| | |
Implemented the model using Python and OpenCV for video stream processing | | |

#### Leadership and Influence:

Expand Down

0 comments on commit cc5dd90

Please sign in to comment.