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AI-Powered File Organizer for Multimedia Using DeepSeek and Python

Updated: May 21

Introduction


Imagine your computer cluttered with disorganized multimedia files—videos, audio clips, and images scattered everywhere. This chaos not only wastes time but can also lead to frustration when searching for a specific file. Luckily, technology offers a solution! In this guide, we will create an AI-powered multimedia organizer using DeepSeek and Python, making file management effortless. Let’s roll up our sleeves and get started!


Eye-level view of audio and video files organized in appropriate folders
Organized multimedia files in dedicated folders.

Understanding the Project Goals


Creating an AI-powered multimedia organizer can drastically improve how we manage our files on our computers. This application will automatically stash recorded videos and audios into categorized folders and rename them appropriately, just like in chatgpt which auto renames your every conversation.


The core objectives are:


  • Identify when sound or video recordings are saved locally.

  • Utilize DeepSeek AI to analyze these files.

  • Move and rename them based on content, improving accessibility.


Necessary Tools and Libraries


To get started, we will need a few essential tools:


  • PyCharm: A powerful IDE for Python development.

  • DeepSeek: The AI tool for analyzing multimedia content.

  • .bat File for Automation: Automates our process without even lifting a finger.


Make sure to install all these tools before beginning the project.


Setting Up the Development Environment


Installing PyCharm


  1. Download PyCharm from its official website.

  2. Install it by following the instructions for your operating system.

  3. Open PyCharm and create a new project.


Installing DeepSeek


  1. Open the terminal within PyCharm.

  2. Run the following command to install the DeepSeek library:

    ```bash

    pip install deepseek

    ```

    This command will download all necessary modules for your project.


    Wide-angle view of a setup showcasing DeepSeek application and PyCharm
    Development environment for creating an AI-powered multimedia organizer.

Creating the Python Script


Now we dive into the heart of our application—writing the Python script.


Writing the Code


Create a new Python file in PyCharm. Below is a template to start your coding journey:


```python

import os

import shutil

import time

from deepseek import DeepSeek


Set your desired folder paths

input_folder = "C:/Users/YourName/Downloads/" # Your source folder

output_folder = "C:/Users/YourName/OrganizedMedia/" # Your destination folder


Initialize DeepSeek

deepseek = DeepSeek()


Use dedicated libraries for multimedia analysis:

  • Images: PIL for metadata, TensorFlow/PyTorch with vision models.

  • Audio/Video: librosa (audio features), SpeechRecognition (transcription).

import os
import shutil
import time
import uuid
import re
from PIL import Image
import speech_recognition as sr

input_folder = "C:/Users/YourName/Downloads/"
output_folder = "C:/Users/YourName/OrganizedMedia/"

def analyze_image(file_path):
    with Image.open(file_path) as img:
        return f"Image_{img.size[0]}x{img.size[1]}"

def analyze_audio(file_path):
    recognizer = sr.Recognizer()
    with sr.AudioFile(file_path) as source:
        audio = recognizer.record(source)
        text = recognizer.recognize_google(audio)
    return f"Audio_{text[:20]}"

def organize_files():
    while True:
        for file in os.listdir(input_folder):
            try:
                if file.endswith((".mp4", ".mp3", ".wav", ".jpg")):
                    full_path = os.path.join(input_folder, file)
                    
                    # Example analysis (replace with actual logic)
                    if file.endswith(".jpg"):
                        category = analyze_image(full_path)
                    else:
                        category = analyze_audio(full_path)
                    
                    category = re.sub(r'[\\/:*?"<>|]', '_', category)
                    new_name = f"{category}_{uuid.uuid4().hex}_{file}"
                    final_path = os.path.join(output_folder, category)
                    
                    os.makedirs(final_path, exist_ok=True)
                    shutil.move(full_path, os.path.join(final_path, new_name))
                    print(f"Moved: {file} to {final_path}/{new_name}")
            except Exception as e:
                print(f"Error: {e}")

        time.sleep(10)

if __name__ == "__main__":
    organize_files()
  • Dependencies: Install required libraries:


    pip install pillow speechrecognition librosa


Creating the .bat File for Automation


Basic Structure of the .bat File


Create a `.bat` file to automate the execution of your Python script. Create a file called `run_organizer.bat` with the following content:


```bat

@echo off

cd C:\path\to\your\project

python organize_files.py

```


This batch file will make running the script a breeze.


Testing the Application


To test the application, follow these steps:


  1. Place various audio and video files into the input folder you designated in your script.

  2. Run the `.bat` file you created.

  3. Check the output folder and subfolders to verify whether the files have been renamed and categorized correctly.


Expected outcomes include files that are analyzed and moved accurately. If any errors arise, troubleshooting will help refine the process.


Wrapping Up


In this post, we successfully built an AI-powered file organizer using DeepSeek and Python. With this automation, you can streamline how multimedia files are stored and categorized, reducing the time spent searching for that elusive audio clip or crucial video.


Looking ahead, consider enhancing the app by adding a user interface or scheduling capabilities for regular uploads. Exploring additional AI tools or libraries could also increase its functionality and versatility.


Happy coding and enjoy organizing your digital media!




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