GraspIt is a revolutionary tool that turns any educational concept into a complete explainer video — all in under 2 minutes. Just enter a topic like "IP Address", and watch as GraspIt generates a 5-scene educational video with narration, visuals, and smooth transitions, fully automated using cutting-edge AI.

• 💬 GPT-4 Script Generation via OpenRouter
  Converts any concept into a 5-scene educational script, including narration and visual cues.

• 🔊 Realistic Narration using Google Cloud Text-to-Speech
  Produces natural, human-like voiceovers for each scene.

• 🖼️ AI Image Generation with DeepAI
  Creates custom illustrations for each scene based on the script.

• 🎬 Video Assembly with MoviePy
  Combines images and audio into a polished, high-quality MP4 video.

Install all required packages using pip:

pip install google-cloud-texttospeech moviepy pillow requests python-dotenv

You’ll need API keys and credentials from the following platforms:

• Create a project at: https://console.cloud.google.com/
• Enable Text-to-Speech API
• Create a Service Account → Download JSON key
• Save your key as service-account.json

• Visit: https://openrouter.ai
• Generate an API key

• Visit: https://deepai.org
• Create an account → Get API key

Create a .env file in your project root:

GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
OPENROUTER_API_KEY=your_openrouter_key
DEEPAI_API_KEY=your_deepai_key
VIDEO_WIDTH=900
VIDEO_HEIGHT=600
VIDEO_FPS=24
DEFAULT_SCENE_DURATION=4.0

⁠ ---

From your terminal or Google Colab, run:

python main.py

When prompted, type your concept (e.g., IP Address, Photosynthesis, Blockchain).

GraspIt will:

1. Generate a 5-scene script
2. Convert narration to audio
3. Create relevant visuals
4. Assemble the video
5. Output: final_explainer_video.mp4

Concept: "Photosynthesis"

🎞️ Output:

• 5 structured scenes
• Voice-over narration
• AI-generated visuals
• Smooth scene transitions

📁 Final File: final_explainer_video.mp4

1. Script Creation Sends your topic to GPT-4 via OpenRouter → Receives 5 scenes with narration and visuals.

2. Text-to-Speech Google Cloud TTS converts narration into professional-quality voiceovers.

3. Image Generation Visual descriptions are sent to DeepAI to create illustrations for each scene.

4. Video Editing Uses MoviePy to combine images and audio into a cohesive video.

• Built an end-to-end AI orchestration system
• Integrated multiple APIs and handled fallbacks
• Generated educational videos in < 2 minutes
• Seamless visual and audio sync

• Handling asynchronous API responses
• Fallback strategies for failed API calls
• Automating educational content workflows
• Audio-video alignment and compression

• 🌐 Web-based interface for drag-and-drop concepts
• 🎙️ Support for multilingual narration (Kannada, Hindi, etc.)
• 📚 Batch generation for syllabus-based content
• 📺 YouTube / Google Classroom integration
• 📝 Subtitles and closed captions

“From concept to classroom — in under 2 minutes.”

Amrutha Kanakatte Ravishankar(amruthakravishankar@outlook.com)

Sneha Venkatesh(Svenkate1@stevens.edu Version: 1.0 License: MIT License

graspit/
├── main.py
├── .env
├── final_explainer_video.mp4
├── scene_*.mp3 / .png (temporary files)
└── README.md

This project is licensed under the MIT License. See the LICENSE file for details.