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🎥 Video Search Engine

🚀 A Jupyter Notebook-based video search engine that allows users to locate specific text within video content using speech recognition and timestamps. The project utilizes Google Speech API, MoviePy, and Tkinter for processing and interaction.

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🌟 Features

• 🎬 Select video files in formats like .mp4 or .avi.
• 🔍 Search for specific phrases within the video's audio.
• 🕒 Timestamps for matches are clickable to preview specific scenes.
• 🖥️ Interactive GUI powered by Tkinter.

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🖼️ Screenshots

1. Sample Main Interface
   

2. Browse Video Interface
   

3. Search Results
   

4. Video Preview
   

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📚 Prerequisites

Ensure you have the following installed:

• Python 3.9+
• Jupyter Notebook or Jupyter Lab
• Required Libraries:

  pip install moviepy SpeechRecognition tkinter notebook

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⚙️ How to Use

1. Clone the repository:

   git clone https://github.com/Bushra-Butt-17/video-search-engine.git
   cd video-search-engine

2. Run the Notebook:
   Open video_search.ipynb in Jupyter Notebook or Jupyter Lab:

   jupyter notebook video_search.ipynb

3. Browse Video: Select your video file by using the GUI.

4. Search Query: Enter the text you want to find within the video.

5. View Results: Click the timestamps to preview the specific part of the video.

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🚀 Future Enhancements

• Expand support to additional video/audio formats.
• Use advanced transcription APIs (e.g., AssemblyAI, Whisper) for higher accuracy.
• Provide an option to generate subtitles or export results in text formats.

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🛠️ Contributing

Feel free to fork the repository, submit issues, or create pull requests to improve the project!

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👩‍💻 Author

Developed by Bushra Butt.

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