Back to AI Projects
Intermediate
Traffic Sign Recognition using Deep Learning
CNN model for classifying road traffic signs, built for driver-assist use cases
A deep learning model trained to classify traffic sign images, demonstrating a core building block of driver-assistance and autonomous vehicle systems.
What's included
- CNN trained on a labeled traffic sign dataset
- Real-time prediction from image/video input
- Accuracy and confusion matrix visualizations
- Notebook with training walkthrough
- Report and presentation slides included
Tech stack
PythonTensorFlow/KerasCNNOpenCV
More in AI Projects
Handwritten Digit Recognition (CNN)
Deep learning classifier trained on MNIST with a live prediction demo
PythonTensorFlow/KerasOpenCVFlask
Beginner
Face Recognition Attendance System
Automated attendance marking using real-time face detection
PythonOpenCVface_recognitionSQLite
Intermediate
Sentiment Analysis on Social Media Data
NLP pipeline that classifies text as positive, negative or neutral
PythonNLTK/spaCyScikit-learnStreamlit
Intermediate