🧠 5 Python Scripts That Solve Problems You Didn’t Know You Had

Weird, Brilliant, and Shockingly Useful Tools Built in Python

⚡ Introduction: Not All Superpowers Are Flashy

When people talk about Python scripts, you often hear about automation, data science, or scraping. Maybe even AI.

But some of t…


This content originally appeared on DEV Community and was authored by Snappy Tuts

Weird, Brilliant, and Shockingly Useful Tools Built in Python

⚡ Introduction: Not All Superpowers Are Flashy

When people talk about Python scripts, you often hear about automation, data science, or scraping. Maybe even AI.

But some of the most powerful Python scripts aren’t the ones that change the world… they’re the ones that quietly fix the broken things you deal with every day.

This article is your personal tour through the world of oddly powerful Python scripts — scripts that:

  • Fix real-life annoyances.
  • Turn digital noise into clarity.
  • Save you time without asking permission.

They're not glamorous. They’re not “hacks.” But they work. And after you try them, you'll wonder why they're not more famous.

🧽 1. The Screenshot De-Clutter Script

“Because your Downloads folder isn’t supposed to be a graveyard.”

How many screenshots do you take a week? Now multiply that by 52. Then remember you never delete them.

This Python script auto-moves screenshots to a dated folder, renames them based on content using OCR, and uploads them to your Google Drive backup folder.

🔧 How it works:

  • Uses watchdog to monitor ~/Downloads/
  • Uses pytesseract to OCR images
  • Auto-uploads to Drive via pydrive 
import os
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from PIL import Image
import pytesseract

class ScreenshotHandler(FileSystemEventHandler):
    def on_created(self, event):
        if event.src_path.endswith(".png"):
            text = pytesseract.image_to_string(Image.open(event.src_path))
            name = text[:10].strip().replace(" ", "_") or "screenshot"
            new_path = os.path.expanduser(f"~/Documents/Screenshots/{name}.png")
            os.rename(event.src_path, new_path)

💡 Bonus idea: Modify it to extract QR codes or URLs and auto-open them.

🪞 2. Auto-Summarize Your Browsing History

“Because no one has time to read 58 open tabs.”

This script runs weekly, grabs your Chrome history, clusters visited pages by topic using sklearn, and generates a TL;DR summary for each group using transformers.

Info:
You can summarize your entire week of research in a few bullet points. This script works great for students, bloggers, and researchers.

pip install transformers pandas sklearn

from transformers import pipeline
import pandas as pd

summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
df = pd.read_csv("~/Library/Application Support/Google/Chrome/Default/History")

urls = df["url"].tolist()
text_blobs = scrape_texts_from_urls(urls)  # Custom function
for text in text_blobs:
    summary = summarizer(text[:1000])[0]["summary_text"]
    print(summary)

✅ Pair this with a Notion or Obsidian exporter and you’ll never lose track of your rabbit holes again.

📜 3. Smart Resume Builder with Real-World Feedback

“Because writing a resume feels like writing a lie in Times New Roman.”

This script pulls your GitHub, LinkedIn, StackOverflow, and Kaggle profiles, extracts your most impressive projects, and builds a one-page resume based on what recruiters actually care about.

Quote:
“My resume went from ‘meh’ to 4 interviews in 5 days. All automated.”
— Reddit user /u/compilesfine

from fpdf import FPDF

pdf = FPDF()
pdf.add_page()
pdf.set_font("Arial", size=12)
pdf.cell(200, 10, txt="Generated Resume", ln=True)

# pull data using APIs (pseudo code)
projects = get_github_projects()
jobs = get_linkedin_experience()

for job in jobs:
    pdf.cell(200, 10, txt=job["title"], ln=True)

✨ Add-On: Integrate with GPT to rewrite project descriptions based on actual job listings.

🛠 4. The “Fix My PC” Maintenance Bot

“Your non-tech friends will worship you.”

This script runs a checklist of system health fixes:

  • Clears temp files
  • Uninstalls bloatware
  • Restarts background services
  • Fixes Windows Defender issues
  • Sends a report to your email

You can turn this into a self-updating .exe with pyinstaller for mass distribution.

import os
os.system("del /q/f/s %TEMP%\*")
os.system("cleanmgr /sagerun:1")
os.system("sc stop wuauserv && sc start wuauserv")

Use this as a branded tech support tool — or offer it as a free download to grow your email list.

⌚ 5. Calendar AI That Actually Understands You

“Don’t schedule meetings. Describe them.”

Write a sentence like:

“Lunch with Alex on Friday if he’s free, otherwise Monday noon.”

This script parses natural language with Duckling and spaCy, checks your calendar via Google Calendar API, and creates the event in the optimal slot.

from dateparser import parse
event_text = "Lunch with Alex next Friday or Monday noon"

event_time = parse(event_text)
# connect to calendar and create event

Bonus: Use GPT to rephrase vague time descriptions like “after the gym” into actual slots.

🎯 Final Thoughts: Solve Small Problems, Reap Huge Gains

Here’s what we explored:

  • A script to clean your screenshot chaos
  • A bot that summarizes your web brain
  • A resume that writes itself using your code
  • An auto-maintenance tool for loved ones’ computers
  • A natural-language calendar scheduler

These aren’t flashy. They’re not for TikTok clout. But they’re real. And they make your life — or someone else’s — noticeably better.

💬 Build tools that save 1 minute a day.
💡 In a year, you’ll be ahead of 95% of developers.


This content originally appeared on DEV Community and was authored by Snappy Tuts


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