📚 Project 2: Detecting AI-Assisted Homework Submissions 🤖

In the past, students submitted their homework on paper, but with modern advancements, electronic submission has become the norm. However, with increased access to online resources, students can easily copy content from the internet or use AI tools like ChatGPT, Bing AI, and Gemini to complete their assignments. This creates a challenge for teachers and professors who need to spend considerable time identifying and addressing AI-generated content, even with tools like ZeroGPT.

📝 Problem Statement:

Teachers and professors are often burdened with the task of distinguishing between AI-generated and human-written submissions. This process is time-consuming and can detract from their ability to focus on providing meaningful feedback and instruction.

💡 Proposed Solution:

We propose developing a system that automatically checks submitted work, sorting AI-assisted texts and purely human-written submissions into two separate categories. Professors can set a threshold for acceptable AI usage. This system will streamline the grading process, allowing educators to focus more on evaluating original student work.

📈 Project Goals:

- Develop a model to detect and categorize AI-assisted submissions.

- Create a prototype, potentially starting as a Telegram bot.

- Collaborate with mentors to refine the model and expand its capabilities.

- Write official letters to schools and universities to promote the adoption of this tool.

- Apply for international funding and startup programs to support the project's development and implementation.

🗓 Project Agenda:

1. Day 1: Problem Introduction

2. Day 2: Project Development

3. Day 3: Meeting with Specialists

4. Day 4: Continue Development and Integration

5. Day 5: Testing and Evaluation

Join us in creating a smarter way to ensure academic integrity and support educators in the digital age!