Aya badawy@AyaBadawy
1
Events attended
1
Submissions made
Egypt
1 year of experience
About me
Data Analyst Instructor | NLP Engineer | AI Enthusiast | HR Leader Currently empowering others as a Data Science Instructor, teaching tools like Excel, Power BI, SQL, and Python, while leading HR initiatives at Ma3an. I’m passionate about leveraging AI and data science to tackle real-world challenges, with expertise in NLP, ETL pipelines, and machine learning. From developing personalized learning platforms like 'Huggingface Chatbot' to writing for Eqra-tec, I aim to create meaningful impact at the intersection of technology, education, and innovation.
🤝 Top Collaborators
🤓 Latest Submissions
ProfessorSTEM
Introducing ProfessorSTEM Your Fully AI-Agentic Platform designed to provide a personalized and structured learning experience through quizzes, study plans, and progress tracking. All is done only using Artificial Intelligence from A to Z The Problem We're Targeting Traditional e-learning platforms often lack personalization, making it difficult for learners to track their progress or receive tailored study plans that address their unique needs. Additionally, The Education Gap in Low-income Countries such as in south of africa is huge, and can be solved using proper AI-Integration Techniques Our Approach ProfessorSTEM overcomes these challenges by offering: User Authentication – Role-based access for students and administrators to ensure data security and seamless user management. Personalized Learning Paths – An initial quiz evaluates each learner’s knowledge level, creating a custom learning journey. AI-Generated Study Plans – Based on quiz results, the system automatically curates study materials tailored to the learner’s strengths and weaknesses. Progress Tracking & Insights – A final assessment compares initial and final performance, providing clear insights into learning growth. Admin & User Dashboards – Intuitive dashboards empower students to monitor their progress and help administrators manage learning paths efficiently. Technology Stack ProfessorSTEM is built using a robust technology stack to ensure scalability, security, and performance: Backend: Flask (Python) for API development and business logic Frontend: HTML, CSS, JavaScript for an intuitive user interface Database: PostgreSQL for storing user data, quiz results, and study plans AI & Data Processing: Pipeline-Agent Based for personalized study plan generation Authentication & Security: Flask-Login and JWT for user authentication and role-based access control Deployment: Vercel for hosting the frontend, with backend services integrated for smooth performance
2 Mar 2025
