arabic-name-generation-with-lstm

This project demonstrates how to use a Long Short-Term Memory (LSTM) neural network to generate names based on a dataset of names. The model is trained to predict the next character in a sequence of characters, given the previous characters.

credit-risk-analysis

An end-to-end credit scoring model for loan approval using Python, Flask, and machine learning algorithms. Predicts Probability of Default (PD), Exposure at Default (EAD), and Expected Credit Loss (ECL).

financial-chatbot

This project is a chatbot built with the RASA framework that can converse with users and provide them with specific financial data as needed.

mehdiby

mini-shazam

Our project is inspired by the famous app Shazam and aims to recreate its core functionality using the GTZAN dataset and various ML algorithms. Through this, we seek to explore the fundamental aspects of audio signal processing, feature extraction, and classification techniques to study, classify, and even recommend music based on audio inputs.

portfolio99

transfomer_based_paraphrasing_tool

"this is a Text Paraphrasing App! Built using Flutter & Hugging Face's Transformers, this open-source project empowers text paraphrasing. Input text, tap to paraphrase, and witness the magic of transformer models. Experience NLP in action with this user-friendly app.

tun-akinator

Tunisian Akinator is a Python-based implementation of the classic Akinator game, but with a customizable dataset. The game tries to guess which character the user is thinking of by asking a series of yes/no questions. The decision tree algorithm used for selecting questions in this game employs ML techniques to maximize the info gain at every step

water-level-prediction-in-tunisian-dams

This project aims to predict the water level in various dams across Tunisia using machine learning algorithms. The dataset used in this project is sourced from the Tunisian Ministry of Agriculture.