Kenean Dita

Cryptocurrency-Price-Predictor-using-Time-Series-data

A Flask web application that predicts tomorrow's closing prices for cryptocurrencies using trained XGBoost models. The application uses historical market data with technical indicators to make predictions for BTC, ETH, LTC, and XPR.

Memory-Vault

A secure, personal memory-management app, made by using simulated cloud storage, for capturing, organizing, and revisiting important moments, notes, and media.

Vendly

A comprehensive web platform built with Django and Tailwind CSS, this site offers a seamless, modern shopping experience across diverse categories. Vendly has clean, responsive design and optimized performance.

fancy-Agent

Fidel-Vision

A Deep Learning + Streamlit web app for recognizing handwritten Amharic fidel characters (34 root groups × 7 orders). It uses a CNN model built with TensorFlow/Keras, trained on a custom dataset of handwritten Amharic letters, and serves predictions through a Streamlit interface.

GradeCast

A machine learning web application built with Flask that predicts student performance based on input data. This project showcases practical skills in data preprocessing, model training, evaluation, and deploying ML models using Flask for real-time predictions.