EduVibe AI

Empowering Future Learning Through AI

AI-Powered
Smart Teaching
Real-Time Analytics
Adaptive Learning

"Unlock the limitless potential of learners with the power of AI"

Revolutionary AI Features

Transforming education through intelligent, adaptive technology

Learning

Personalized AI-Driven Content

Tailored learning experiences adapting to individual student needs, preferences and learning pace.

Teaching

Smart Teaching Assistants

AI-powered tools reducing administrative burden with automated planning, task assignment, and guidance.

Adaptive

Adaptive Learning Pathways

Education that evolves with each student's progress, adjusting difficulty and content focus automatically.

Content

AI-Powered Content Generation

Instantly create summaries, quizzes, and study notes perfectly customized to learning objectives.

Planning

Dynamic Lesson Planning

Create and adjust lessons based on real-time performance metrics and learning analytics.

Analytics

Progress Visualization

Comprehensive dashboards tracking student development, identifying strengths and improvement areas.

"The next generation of educational technology"

AI-Powered Technical Content

Generating code, problem solutions, and MCQs instantly

flowchart LR A[Topic
Request] -->|AI Processing| B(Content
Engine) B --> C[Problem
Solving Steps] B --> D[Code
Generation] B --> E[MCQ
Generation] F[Learning
Focus] -->|Guidance| B G[Custom
Parameters] -->|Refinement| B style A fill:#0A2463,stroke:#CAF0F8,color:#fff,stroke-width:2px style B fill:#1E88E5,stroke:#CAF0F8,color:#fff,stroke-width:2px style C fill:#00B4D8,stroke:#CAF0F8,color:#fff,stroke-width:2px style D fill:#00B4D8,stroke:#CAF0F8,color:#fff,stroke-width:2px style E fill:#00B4D8,stroke:#CAF0F8,color:#fff,stroke-width:2px style F fill:#0A2463,stroke:#CAF0F8,color:#fff,stroke-width:2px style G fill:#0A2463,stroke:#CAF0F8,color:#fff,stroke-width:2px

Problem Solving Steps

Step-by-step guidance for solving complex problems across various domains.

Problem: Steps to solve a dynamic programming question...

Code Generation

Generate code snippets, examples, or boilerplate based on specified requirements.

Code: Python function for sorting...

MCQ Generation

Create multiple-choice questions tailored to specific topics and difficulty levels.

MCQ: Questions on algorithms and data structures...
EduVibe AI Content Gen
AI > Generating problem solving steps...
MCQ Question:

Which sorting algorithm has the worst-case time complexity of O(n²)?

A. Merge Sort
B. Quick Sort
C. Bubble Sort
D. Heap Sort

question problem solving code forces

Progress...
Time Savings

AI-Generated Problem Solution

Convert hours to seconds - problem description and code solution

Problem:

Write a function that takes time in hours as input and returns the equivalent time in seconds.

Input:

A single non-negative integer representing the number of hours.

Output:

A single integer representing the total number of seconds.

Example:

If the input is `2` hours, the output should be `7200` seconds.

Input: 2
Output: 7200
EduVibe AI Problem Solver
AI > Generating code solution...

Problem: Convert Hours to Seconds

Write a function to convert a given number of hours into seconds.

Code Solution (Python):

# Function to convert hours to seconds
def hours_to_seconds(hours):
    """Converts hours to seconds."""
    if hours < 0:
        return "Input must be non-negative" # Handle edge case
    minutes = hours * 60
    seconds = minutes * 60
    return seconds

# Example Usage:
print(hours_to_seconds(2)) # Output: 7200
print(hours_to_seconds(0)) # Output: 0
print(hours_to_seconds(-5)) # Output: Input must be non-negative
                                 
Process complete.100%

Smart Teaching Assistants

Reducing workload while enhancing educational quality

Time-Saving

Intelligent Planning & Delivery

  • Lesson generation
  • Differentiated content
  • Activity suggestions
  • Engagement monitoring

Smart Grading

  • Auto-assessment
  • Plagiarism check
  • Analytics

Admin Automation

  • Attendance
  • Reporting
  • Communication
Complete Teaching Cycle
Plan
Teach
Assess
Adapt
AI assistance at every stage
EduVibe Assistant
EduVibe

Morning Ms. J. Prepared Biology lesson...

Ms. J

More visuals for Group B?

EduVibe

Updated w/ 3 visuals & sim. Schedule:

Biology 101
9:00 AM
Ready
Chem Reports
AI graded
Assist
Parent Conf.
4:00 PM
Ready
Ms. J

Send guides to students < 70%?

68%
Time Saved
12
Tasks Auto
28
Tracked
68%
Admin Time Reduced
85%
Teacher Satisfaction
3.5×
More Personalization

Analytics & Progress Tracking

Real-time insights powering personalized learning journeys

Performance Analytics

87%
Engage
92%
Complete
+24%
Growth
8.6
Satisfy

Student Progress

Top Performers

ola khalifa
93%
Asser mahmoud
91%
youssef hussein
85%

Skills Dev.

Crit. Thinking86%
Prob. Solving92%

AI Insights

32% higher engagement with interactive content.
5 students need support in algebra — modules recommended.
Optimal: theory (AM), practical (PM).
AI Suggestion

Targeted review for 5 students on algebra.

Dynamic Dashboards

EduVibe delivers customized reports for students, parents, educators, and administrators—offering clear, actionable insights to support personalized learning, informed teaching, and strategic decision-making.

Predictive Analysis

EduVibe uses AI to predict student outcomes, detect risks early, and suggest timely interventions to support academic success and prevent learning gaps before they grow.

Multi-level Reporting

EduVibe delivers customized reports for students, parents, educators, and administrators—offering clear, actionable insights to support personalized learning, informed teaching, and strategic decision-making.

Competitive Analysis & Roadmap

EduVibe's unique advantages and strategic development journey

Market

Feature Comparison

FeatureEduVibeKhan A.ChatGPTG. Class
AI Content Gen Key
Educator Tools
Custom Quizzes Key
Analytics DashSoon

Competitive Edge

Timeline

Development Roadmap

Ideation
Challenge ID
Develop
AI Train + UX
Launch
Beta Test
Expand
Scale Global
gantt dateFormat YYYY-MM title Project Timeline section Phase 1 Research & Ideation :done, a1, 2023-09, 3M Prototype Development :done, a2, after a1, 4M section Phase 2 AI Model Training :active, b1, 2024-03, 4M UX/UI Design :active, b2, 2024-04, 3M section Phase 3 Beta Testing :c1, 2024-08, 3M Feedback Integration :c2, 2024-10, 2M Market Launch :milestone, 2025-01, 0d
Innovations

Problems Solved

Problem
One-size-fits-all
Solution
Personalized AI
Problem
Educator overload
Solution
Task automation
Problem
Low engagement
Solution
Interactive AI

Meet Our Team

The innovative minds behind EduVibe AI

Our diverse team combines expertise in Image Processing Machine Learning NLP IoT Data Mining Software Engineering Knowledge Graphs Medical Image Analysis Research ITCS to revolutionize learning.

Dr. Tamer Arafa

Dr. Tamer Arafa

Assistant Professor, ITCS

Received B.Sc., M.Sc., M.S., MBA, and Ph.D. from Cairo University and CSU. Research includes Image Processing, Forensic Analysis, Machine Learning, Intelligent Systems, and IoT.

Image Processing Machine Learning IoT
Dr. Ghada Khoriba

Dr. Ghada Khoriba

Associate Professor, ITCS

An IEEE and ACM member, specializing in Medical Image Analysis, Machine Learning, Deep Learning Models, and Natural Language Processing. Received her Ph.D. from the University of Tsukuba, Japan.

Medical Image Analysis Deep Learning NLP
Dr. Walaa Medhat

Dr. Walaa Medhat

Associate Professor & Program Director of CS

Leads the Computer Science program at Nile University. With a Ph.D. from Ain Shams University, she specializes in Natural Language Processing, Data Mining, and Software Engineering.

NLP Data Mining Software Engineering
Dr. Ensaf Mohamed

Dr. Ensaf Mohamed

Associate Professor, ITCS

Focuses on Natural Language Processing, Text Mining, and Medical Image Analysis. She holds a Ph.D. from Helwan University and actively researches large language models (LLMs), ontology, and knowledge graphs.

NLP Medical Image Analysis Knowledge Graphs
Saher Mohamed Abdelaziz

Saher Mohamed Abdelaziz

Research Assistant

Research Assistant contributing to cutting-edge research in computer science and information technology.

Research Computer Science
Mohamed Ibrahim

Mohamed Ibrahim

Research Assistant

Research Assistant supporting various research initiatives in computer science and technology.

Research Technology
Abdelrahman Mahmoud

Abdelrahman Mahmoud

Research Assistant

Research Assistant working on innovative projects in information technology and computer science.

Research Information Technology