🚀 ED AI

Revolutionizing Learning with AI!

ED AI is an innovative AI-powered educational assistant designed to revolutionize the learning experience. By offering personalized course recommendations, a Socratic method-based AI chat, and mock interview simulations, ED AI addresses key challenges in personalized learning and scalable teaching assistance.

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📜 Table of Contents

• ✨ Introduction
• 🚀 Features
• 🛠️ Technologies Used
• ⚙️ Setup Instructions
  • 🔧 Prerequisites
  • 📦 Installation
• 🔐 Creating the .env File
• 🏃 Running the Application
• 💡 Challenges and Solutions
• 🔮 Future Opportunities
• 📫 Contact
• 📄 License

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✨ Introduction

ED AI leverages cutting-edge Generative AI to personalize learning experiences. It provides real-time course recommendations and engages students in Socratic-style conversations to master complex topics such as Data Structures and Algorithms. Additionally, the mock interview feature simulates real-world coding and technical interview environments, equipping users with the skills and confidence needed to excel.

Key Objectives:

• Personalized Learning: Tailor educational content to individual learning styles and progress.
• Interactive Engagement: Utilize Socratic dialogues to deepen understanding.
• Career Preparation: Offer realistic interview simulations to prepare for the job market.

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🚀 Features

1. 🎯 Personalized Learning Recommendations

   • Tailors course suggestions based on user progress and learning preferences.

2. 🗣️ Socratic Method AI Chat

   • An AI assistant that engages learners with probing questions to facilitate independent problem-solving and concept mastery.

3. 💼 AI-Powered Mock Interviews

   • Simulates coding and technical interviews to help students prepare for real-world challenges and job opportunities.

4. 📚 Comprehensive Learning Resources

   • Access AI-powered courses, multiple-choice questions (MCQs), and coding tests designed to reinforce learning and assess comprehension.

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🛠️ Technologies Used

• 💻 Python
• 🤖 Gemini Models
• 🔗 Langchain
• 📚 RAG (Retrieval-Augmented Generation)
• 🔐 Google Authentication
• 🎙️ Speech Recognition
• 📹 Media Pipelines
• 🌐 Streamlit
• 🐙 Git

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⚙️ Setup Instructions

🔧 Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.8+ installed on your machine. You can download it from python.org.
• Gemini API Key for accessing AI-powered features. Sign up here to obtain your API key.

📦 Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/ed-ai.git
   cd ed-ai

2. Create a Virtual Environment (recommended):

   python -m venv venv

   • Activate the Virtual Environment:
     • On macOS/Linux:

       source venv/bin/activate

     • On Windows:

       venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

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🔐 Creating the .env File

To secure sensitive information such as API keys, follow these steps to create and configure a .env file:

1. Create the .env File:

   touch .env

2. Add Configuration Variables:

   Open the .env file in your preferred text editor and add the following line:

   GOOGLE_API_KEY='your-gemini-api-key-here'
   

   Note: Replace your-gemini-api-key-here with your actual Gemini API key.

3. Secure Your .env File:

   Ensure that your .env file is included in .gitignore to prevent it from being pushed to version control:

   # .gitignore
   .env
   

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🏃 Running the Application

1. Start the Web App:

   streamlit run app.py

2. Access the Platform:

   Open your web browser and navigate to http://localhost:8501/ to start using ED AI.

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💡 Challenges and Solutions

🏫 Personalized Learning at Scale

Challenge: Scaling personalized learning experiences for a large number of users. Solution: Implemented AI-driven recommendation systems that adapt to individual user progress and preferences in real-time.

🧠 Engaging Users with Complex Topics

Challenge: Ensuring users comprehend difficult subjects like Data Structures and Algorithms. Solution: Utilized the Socratic method in AI chats to guide learners through problem-solving steps, fostering deeper understanding.

🛠️ Preparing for Real-World Interviews

Challenge: Providing realistic interview practice environments. Solution: Developed AI-powered mock interviews that simulate coding and technical interview scenarios, offering constructive feedback.

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🔮 Future Opportunities

• 🌍 Multilingual Support: Expand the platform to support multiple languages, making it accessible to a global audience.
• 📈 Advanced Analytics: Incorporate detailed analytics to track user progress and provide deeper insights.
• 🤝 Community Features: Introduce forums and collaborative tools to foster a learning community.
• 📱 Mobile Application: Develop a mobile version of ED AI for on-the-go learning.
• 🎓 Certification Programs: Offer recognized certifications to validate user skills and knowledge.

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💻 Sample outputs:

🔗 Quick Links

• 📺 Live Demo

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Enhance Your Learning Journey with ED AI!
Empowering students with personalized, interactive, and effective educational tools. Happy Learning! 🎓✨

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