Abdulrahman Farid@abdulrahman_a_farid265

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Events attended

Submissions made

Egypt

2 years of experience

About me

Hi, I'm Abdulrahman Ayman Farid, an AI engineer with a passion for developing innovative solutions using artificial intelligence, machine learning, and deep learning. 🌟 With a strong foundation in mathematics and extensive experience in project development, I specialize in creating impactful and efficient systems. My skills include proficiency in Python, C++, HTML/CSS, JavaScript, TensorFlow, PyTorch, scikit-learn, Keras, Pandas, NumPy, Matplotlib, Seaborn, and more. 💻 I have successfully developed a mental health-care platform with an integrated AI chatbot, created a computer vision model for detecting solar panel defects, and built a recommendation system using NLP techniques, among other projects. 📈 I have participated in over six hackathons and competitions (Both Global and Local), including securing 2nd place in Egypt at the Google Solution Challenge AUC 2024 Hackathon. 🏆 Additionally, I have leadership experience as a former representative in my college students' union and as a leader in various hackathon teams. With Certificates from my country in various events that proves I'm worth investing in.. I am committed to clear communication, project management from start to finish, and delivering high-quality work that meets high expectations. 📲"

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🤝 Top Collabolators

Aya badawy

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.

Mohamed El-Ewashy

Hi, I’m Mohamed El-Ewashy, an AI enthusiast dedicated to designing cutting-edge solutions powered by artificial intelligence, machine learning, and deep learning. With a strong background in mathematics and a wealth of experience in developing advanced projects, I excel at crafting systems that are both innovative and highly efficient. 🛠️ Technical Expertise: Languages: Proficient in Python, C++, HTML/CSS, JavaScript, Java, and Kotlin. Web Development: Skilled in both frontend and backend development, web scraping, and API integration. AI & Machine Learning: Hands-on experience with TensorFlow, PyTorch, scikit-learn, and Keras for building intelligent systems. Data Analysis & Visualization: Proficient with Pandas, NumPy, Matplotlib, and Seaborn for data-driven insights. Core Focus Areas: Specializes in neural networks, optimization techniques, generative AI, recommendation systems, chatbots, and large language models (LLMs). 🚀 Projects: Here are some of the projects I’ve worked on: - EgyFilm: A movie website built using APIs for fetching and displaying film data efficiently. - Podcast-Ar: A podcast platform dedicated to Arabic Islamic podcasts. - Quraani: A web application for Quranic recitation and study. - ChatBot-Project: A chatbot system developed to enhance user interactions. - AgriChat: A specialized chatbot designed for agricultural support and guidance. - Emotion_Classifier: An AI model for recognizing and classifying emotions from textual input. - VPS-Browser: A secure browser project with advanced features like ad blocking and download/upload support. - Rafiq: An AI-powered therapy assistant designed for mental health support. - Two-Phase-Simplex-Method: An application implementing the Two-Phase Simplex Method for optimization problems. - Conducted web scraping for multiple websites, efficiently extracting and processing data for diverse use cases. - Numerous app-related projects, exploring innovative ideas in AI and beyond.

Abdelrahman Mohamed

Mazen Ehab

I hate Grifith

🔥 Own Projects

RefkPlatform

Developed a mental health-care platform integrated with an AI chatbot using Gemini API, HTML, and CSS to provide mental health support and resources.

SDGBot

Created a computer vision model integrated with Gemini for detecting defects in solar panels. The system helps in identifying and addressing issues in solar panel installations.

JARVIS

Developed a voice-controlled AI assistant with internet search capabilities using Python. The assistant can perform tasks like answering questions, searching the web, and providing reminders.

🤓 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

Hackathon link

2 Mar 2025