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ProfEase AI – An AI-Powered Teaching Assistant

📑 10 slides 👁 40 views 📅 1/22/2026
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Introduction

ProfEase AI is a SaaS-based AI teaching assistant for university professors.

Introduction
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Project Description

  • Designed to help professors automate academic tasks using AI.
  • Generates lectures, quizzes, and manages multiple classes efficiently.
  • Allows professors to focus on teaching and student interaction.
Project Description
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Modules Overview

  • Course Outline Upload: Professors upload course details.
  • AI Lecture Generation: Automates lecture content creation.
  • AI Quiz Generation: Creates quizzes based on lecture topics.
Modules Overview
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Techniques Used

  • Prompt Engineering for precise AI outputs.
  • RESTful APIs using FastAPI for seamless integration.
  • MySQL for relational database management.
Techniques Used
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Professor Use Cases

  • Upload course outlines and generate lectures automatically.
  • Create and manage quizzes for multiple classes.
  • View student performance and results on dashboard.
Professor Use Cases
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Student Use Cases

  • Access quizzes through secure, token-based links.
  • Enter academic details and attempt quizzes within time limits.
  • Submit quizzes and store results for professor review.
Student Use Cases
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Activity Diagram

  • Professor uploads course outline to the system.
  • AI generates lectures and quizzes automatically.
  • Students attempt quizzes, results stored in database.
Activity Diagram
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Project Timeline

  • Phase 1: Requirement Analysis (2 weeks).
  • Phase 2: Backend Development (3 weeks).
  • Phase 3: Frontend Development (3 weeks).
  • Phase 4: AI Integration (2 weeks).
Project Timeline
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Benefits

  • Reduces manual workload for professors significantly.
  • Improves teaching quality and student interaction.
  • Provides analytics for better academic decision-making.
Benefits
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Conclusion

  • ProfEase AI streamlines academic tasks with AI-powered automation.
  • Enhances efficiency for professors and students alike.
  • Future-ready solution for modern educational challenges.
Conclusion
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