Undergraduate Computer Science student at the University of Khartoum, ML, in love with the craft.

Ahmed Alghali  • Peerlist

Template Generator for Reproducible Machine Learning Projects on Chameleon Cloud

Chameo

A lightweight, offline-first health data platform designed to empower doctors, field workers, researchers, and NGOs in connectivity-challenged regions. Cphorm enables seamless patient data logging and secure, synchronized access, even when internet access is limited or unavailable.

Cphorm

Inspired by my work at airqo Flint is a machine learning library designed to boost productivity and provide insights from your data. It builds upon popular libraries like scikit-learn, pandas, and NumPy to streamline common machine-learning workflows and implement creative evaluation techniques.

Flint

GeziraPal is a project that aimed at assisting individuals with knowledge sharing in agriculture & crop cultivation. The project utilizes TensorFlow, a popular machine learning framework, to develop a recommendation system for suggesting suitable crops to cultivate based on various factors. and deployed in Streamlit.

GeziraPal - Smart Farming using TensorFlow

In this project, I've used sentiment analysis to analyze the messages in a Messenger data.json file. The file will contain the messages sent by each user, as well as the date and time each message was sent. it was a good experiment to try NLTK features I cleaned the data by removing any stop words, punctuation, and other non-essential text. then I use a sentiment analysis library to identify the sentiment of each message. NLTK

Sentiment Analysis | Messenger Data

Smartmeds is an intelligent recommendation system capable of recommending possible medication based on your condition and symptoms.

SmartMeds - Recommendation System

SpamGuardian-System is a web application designed to classify email content as either spam or ham. Built with Flask, this project demonstrates how to integrate a machine learning model into a web application, manage RESTful APIs, and handle model deployment