diff --git a/projects/ytmusic.md b/projects/ytmusic.md
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+++ b/projects/ytmusic.md
@@ -1,3 +1,186 @@
+To start with connecting to the YouTube Music API and downloading your playlist data using `curl` and storing this information in a `sqlite3` database, we'll break this task into stages. We'll focus on using the YouTube Data API (which supports YouTube Music data) for authentication and data fetching.
+
+### Stage 1: Setup and API Authentication
+
+#### 1.1 Create a Project and Enable YouTube Data API
+
+1. Go to the [Google Cloud Console](https://console.developers.google.com/).
+2. Create a new project.
+3. Enable the YouTube Data API v3 for your project.
+4. Create OAuth 2.0 credentials for your project and download the JSON file.
+
+#### 1.2 Using `curl` to Connect to the API
+
+First, you'll need to authenticate with OAuth 2.0. Here is a simple way to get an access token:
+
+1. **Request User Authorization**
+
+   Open a browser and navigate to the following URL, replacing `YOUR_CLIENT_ID` and `YOUR_REDIRECT_URI` with your OAuth 2.0 Client ID and Redirect URI:
+   ```
+   https://accounts.google.com/o/oauth2/v2/auth?scope=https://www.googleapis.com/auth/youtube.readonly&access_type=offline&include_granted_scopes=true&response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=YOUR_REDIRECT_URI
+   ```
+
+   After the user grants permission, Google will redirect to the specified `redirect_uri` with a `code` query parameter.
+
+2. **Exchange Authorization Code for Access Token**
+
+   Use `curl` to exchange the authorization code for an access token:
+
+   ```bash
+   curl \
+     -d "code=YOUR_AUTH_CODE" \
+     -d "client_id=YOUR_CLIENT_ID" \
+     -d "client_secret=YOUR_CLIENT_SECRET" \
+     -d "redirect_uri=YOUR_REDIRECT_URI" \
+     -d "grant_type=authorization_code" \
+     https://oauth2.googleapis.com/token
+   ```
+
+   This will return a JSON response with the `access_token` and `refresh_token`.
+
+#### 1.3 Fetch Playlist Data
+
+Now that you have the access token, you can fetch your playlists:
+
+```bash
+curl \
+  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
+  "https://www.googleapis.com/youtube/v3/playlists?part=snippet&mine=true"
+```
+
+### Stage 2: Store Data in SQLite
+
+Let's create a Python script to fetch the data using the YouTube Data API and store it in a SQLite database.
+
+#### 2.1 Install Required Packages
+
+```bash
+pip install requests sqlite3
+```
+
+#### 2.2 Create Python Script
+
+Create a script `fetch_and_store.py`:
+
+```python
+import requests
+import sqlite3
+import json
+
+# Replace with your actual access token
+ACCESS_TOKEN = 'YOUR_ACCESS_TOKEN'
+
+# Fetch playlists
+response = requests.get(
+    'https://www.googleapis.com/youtube/v3/playlists?part=snippet&mine=true',
+    headers={'Authorization': f'Bearer {ACCESS_TOKEN}'}
+)
+playlists = response.json()
+
+# Connect to SQLite database
+conn = sqlite3.connect('youtube_music.db')
+c = conn.cursor()
+
+# Create table for playlists
+c.execute('''
+    CREATE TABLE IF NOT EXISTS playlists (
+        id TEXT PRIMARY KEY,
+        title TEXT,
+        description TEXT,
+        published_at TEXT
+    )
+''')
+
+# Insert playlists into the database
+for item in playlists['items']:
+    c.execute('''
+        INSERT OR REPLACE INTO playlists (id, title, description, published_at)
+        VALUES (?, ?, ?, ?)
+    ''', (item['id'], item['snippet']['title'], item['snippet']['description'], item['snippet']['publishedAt']))
+
+# Commit and close the connection
+conn.commit()
+conn.close()
+
+print("Playlists have been successfully saved to the database.")
+```
+
+### Stage 3: Fetching More Data and Analyzing
+
+#### 3.1 Fetch Playlist Items
+
+Update the script to fetch and store playlist items:
+
+```python
+# Fetch playlist items
+playlist_id = 'YOUR_PLAYLIST_ID'
+response = requests.get(
+    f'https://www.googleapis.com/youtube/v3/playlistItems?part=snippet&playlistId={playlist_id}',
+    headers={'Authorization': f'Bearer {ACCESS_TOKEN}'}
+)
+playlist_items = response.json()
+
+# Create table for playlist items
+c.execute('''
+    CREATE TABLE IF NOT EXISTS playlist_items (
+        id TEXT PRIMARY KEY,
+        playlist_id TEXT,
+        title TEXT,
+        description TEXT,
+        published_at TEXT,
+        video_id TEXT
+    )
+''')
+
+# Insert playlist items into the database
+for item in playlist_items['items']:
+    c.execute('''
+        INSERT OR REPLACE INTO playlist_items (id, playlist_id, title, description, published_at, video_id)
+        VALUES (?, ?, ?, ?, ?, ?)
+    ''', (item['id'], playlist_id, item['snippet']['title'], item['snippet']['description'], item['snippet']['publishedAt'], item['snippet']['resourceId']['videoId']))
+
+# Commit and close the connection
+conn.commit()
+conn.close()
+
+print("Playlist items have been successfully saved to the database.")
+```
+
+### Stage 4: Analyzing Data
+
+You can now analyze the data using SQL queries directly on the SQLite database or by loading the data into a pandas DataFrame for more complex analysis and visualization.
+
+```python
+import sqlite3
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Connect to SQLite database
+conn = sqlite3.connect('youtube_music.db')
+
+# Load playlists into DataFrame
+playlists_df = pd.read_sql_query("SELECT * FROM playlists", conn)
+print(playlists_df.head())
+
+# Load playlist items into DataFrame
+playlist_items_df = pd.read_sql_query("SELECT * FROM playlist_items", conn)
+print(playlist_items_df.head())
+
+# Visualization Example
+playlist_items_df['title'].value_counts().plot(kind='bar', figsize=(10, 5))
+plt.title('Playlist Items by Title')
+plt.xlabel('Title')
+plt.ylabel('Count')
+plt.show()
+
+# Close the connection
+conn.close()
+```
+
+This staged approach will help you connect to the YouTube Data API, fetch playlist data, store it in a SQLite database, and perform data analysis.
+
+---
+
 # YouTube Music Data Analysis
 
 ## Setup