EasyDeep - AI Education Platform 🤖

Fullstack Engineer

Software Engineer

Web Developer

JavaScript

Python

TensorFlow

Korea Foundation for the Advancement of Science & Creativity

Busan Metropolitan City office of Education

Full Stack Development : Lead Software Engineer 💻

📌 Description

As the Chief Architect behind EasyDeep at Algorima, I spearheaded an initiative that underscores my passion for democratizing AI education. Working hand-in-hand with a dynamic team, we designed EasyDeep as a beacon for non-specialists, converting the convoluted world of AI into an approachable and relatable experience.

🚀 Project Highlights

📊 Strategic System Architecture: Initiated with a profound grasp of Algorima's mission, we conceived a robust architecture ensuring seamless interaction between front-end and machine learning servers.

🧠 Intelligent ML Integration: Employing Python and frameworks like Keras, TensorFlow, and Scikit-learn, the ML server efficiently handled model training and inferences, offering real-time results to users.

🌉 Dynamic API Bridging: Using Django, our back-end API server effortlessly communicated with the front-end, facilitating ML requests via the GCP Pub/Sub Message Queue to the ML server.

💾 Data-Driven Design: Leveraging PostgreSQL on Google Cloud, we implemented a resilient database system to store essential data, enhancing overall system performance.

🎨 Interactive User Interface: With a focus on user experience, our front-end, built on React, provided an intuitive interface, making AI learning accessible and engaging.

🔐 Efficient Storage Solutions: Using Google Cloud and Google Cloud Storage, we established a shared storage system to supply initial data to the ML server and maintain model storage.

🛠️ Tech Stack Used:

Back-end API Server: Python 3.7, Django

Database: PostgreSQL on Google Cloud

ML Server: Python 3.7, Keras, TensorFlow, Scikit-learn

Message Queue: GCP Pub/sub on Google Cloud

Front-end: JavaScript, React hosted on Firebase

Storage Server: Google Cloud (Google Cloud Storage for initial data and model storage)

📊 Outcomes and Conclusion

The success of the EasyDeep project showcases my acumen as the Chief Architect in pioneering AI education platforms. Particularly, the project is a testament to:

An innovative platform, EasyDeep, making AI education accessible for non-specialists.

Successful collaboration with a dynamic team, translating complex AI principles into a user-friendly format.

Incorporation of state-of-the-art technologies, ensuring seamless communication between front-end, database, and machine learning servers.

This endeavor symbolizes my dedication to democratizing AI education through impactful tools. As the driving force behind EasyDeep, I've illustrated my expertise in orchestrating holistic AI-based educational experiences.