Ratib.io
A personal finance literacy website built using Flask and React.
Enables users to submit and explore salary data for various roles and companies in Saudi Arabia.
A personal finance literacy website built using Flask and React.
Enables users to submit and explore salary data for various roles and companies in Saudi Arabia.
Developed using Python Discord API. The bots include:
Sticker Bot
saves the stickers to a MySQL database with duplicate detection functionality.
Music Bot
queries Youtube and retrieves the first result to play in the voice channel.
Transcription Bot
records and sends recording to whisper API to get transcription.
This project was made for the SDAIA smartathon.
Pothole are detected using Single Shot Detector and are tracked with DeepSORT tracking model to discern and predict new bounding boxes while keeping track of their unique IDs.
The cropped potholes are passed through a U-net image segmentation trained on the DIODE indoors dataset and fine-tuned using the PotHole-600 dataset, we can construct a heat map of depths for a 2D image.
TensorFlow Machine Learning model trained on
American University in Cairo AHDBase dataset,
a MNIST like data set for arabic hand written digits.
The model uses a convolutional neural network (CNN) architecture and achieves high accuracy on the test set. A Gradio demo was uploaded to huggingface.