Hi there! I'm Mohamed Shaad, a passionate Machine Learning Engineer.
I’m currently developing machine learning–driven solutions that optimize and enhance brand-influencer collaborations at Neuranize.
C HTML5 Python AWS Render Vercel Anaconda Bootstrap Django FastAPI Flask OpenCV MongoDB MySQL Postgres Blender Canva Figma Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub Docker Jira Postman Power Bi
The Multiple Disease Prediction project aims to create a user-friendly web application that allows users to input relevant medical information and receive predictions for different diseases.
This project demonstrates how to use the Qwen2-VL model from Hugging Face for Optical Character Recognition (OCR) and Visual Question Answering (VQA). The model combines vision and language capabil...
This is a Streamlit-based PDF Chatbot powered by OpenAI's Language Models. The chatbot allows users to upload PDF files, extract text content, and ask natural language questions about the PDF content
This project leverages advanced AI agents from crewAI to assist doctors in diagnosing medical conditions and recommending treatment plans based on patient-reported symptoms and medical history. The...
This is a Movie Recommender System built using Streamlit and Python. It recommends similar movies based on user input and displays movie details.
This project automates the process of monitoring market data, developing trading strategies, executing trades, and assessing risks using a team of specialized AI Agents from crewAI. Each agent is e...