A collection of the best moments from Team Five AI Aiolearn in various competitions and projects
Team Leader - Web, AI, and Bioinformatics Engineer
Web Designer and Artificial Intelligence
Web designer,Artificial Intelligence
Web designer, Artificial Intelligence
AI Challang
AI Challang
AI Challang
AI Challang
AI Challang
Patents
Patents
Patents
AI Challang
AI Challang
AI Challang
Cyber Warehouse of Defective Robots
In the year 2125, Earth is run by the robot manufacturing company CyberCore. Thousands of defective robots are kept in huge warehouses.
Your task is to build a management system to determine the storage location of each robot in the warehouse in such a way that the warehouse space is used optimally.
Smart City and Traffic Light Management with Queue Algorithm
Design a smart traffic light system at a busy intersection using queue, prioritization, and automatic control in the browser.
Simulate a 4-way intersection in a smart city, where you must manage the traffic lights using JavaScript and queue algorithms and dynamic decision-making.
Hidden Path Decoder
Build an interactive game based on discovering a path in a graph grid with specific rules.
We have a square grid (like a 10×10 chessboard), where each cell can be one of the following: • Free path (with white color) • Obstacle (with black color) • Start point (green) • End point (red)
Encrypting Messages as Visual Codes in the Browser
In this challenge, you must design a system that can convert a simple text message (for example, a short sentence or a phrase) into an encrypted image. This image can only be decoded with specific rules.
All encryption and decryption steps must be done in the browser, and there is no need for backend or external files.
Saving the Ecosystem with AI(AI)
In the near future, global agricultural systems operate based on weather, soil, and water resource data. Governments have asked you to build a model that predicts which regions are at high risk of severe drought.
DroughtGuard AI: Where data and AI come together to make agriculture smarter than ever with minimal risk of drought.
Sixteen independent ML projects, deployed in a microservice architecture with built-in intelligence for load balancing and automatic recovery.
Our AI doesn’t just predict, it redesigns the future.
Every accurate prediction is one step closer to sustainable agriculture and saving lives.
This project represents a breakthrough in personalized AI assistants, featuring dynamic personality adaptation, real-time 3D avatar responses, and an architecture designed to scale from personal conversations to enterprise-level AI solutions.
This project represents a breakthrough in personalized AI assistants, featuring dynamic personality adaptation, real-time 3D avatar responses, and an architecture designed to scale from personal conversations to enterprise-level AI solutions.
This project represents a breakthrough in personalized AI assistants, featuring dynamic personality adaptation, real-time 3D avatar responses, and an architecture designed to scale from personal conversations to enterprise-level AI solutions.
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Build an AI system that: • Receives user input (text sentence or audio file) and analyzes the emotions present in it • Based on the identified emotions, creates a digital image representing those feelings
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard
Challenge goal: Design an AI system that can: • Analyze employee behavior in the workplace through live video or images • Detect different states (productive work, leaving the workstation, sitting idle, moving between desks, etc.) • Display analytical data in a dashboard