Python Project Ideas

Build a command-line task manager that stores tasks in a JSON file with add, complete, and delete operations.

• Add tasks with a title and optional due date
• Mark tasks as complete or delete them
• Persist tasks to a local JSON file
• List tasks filtered by status (pending/done)
• Display a summary count of pending vs completed tasks

Fetch and display current weather and a 5-day forecast for any city using a free weather API.

• Accept city name as user input
• Call the OpenWeatherMap API with the requests library
• Display temperature, humidity, wind speed, and conditions
• Show a 5-day forecast in a readable table format
• Handle invalid city names with a clear error message

Read any CSV dataset, compute descriptive statistics, and output a plain-text summary report.

• Accept a CSV file path as a CLI argument
• Compute mean, median, min, max, and std dev per numeric column
• Detect and report missing values per column
• Export a summary report to a .txt file
• Support datasets with at least 1,000 rows without crashing

Scrape product prices from a public e-commerce site on a schedule and alert when a price drops below a threshold.

• Scrape product name and price using BeautifulSoup
• Store historical prices with timestamps in SQLite
• Run on a configurable polling interval (e.g. every hour)
• Send an email alert via smtplib when price drops below target
• Respect robots.txt and add request delays

Build a RESTful API for tracking income and expenses with category tagging and monthly summaries.

• CRUD endpoints for transactions (amount, category, date, note)
• Authenticate requests with a simple API key header
• Store data in SQLite via SQLAlchemy ORM
• GET /summary endpoint returning monthly totals per category
• Validate all input and return proper HTTP status codes

Watch a folder and automatically sort incoming files into subfolders by type, date, or custom rules defined in a config file.

• Monitor a directory in real time using watchdog
• Read sorting rules (extensions → folder names) from a YAML config
• Move files to categorized subfolders (Images, Docs, Videos, etc.)
• Log every move operation with timestamp to a rotating log file
• Handle filename conflicts by appending a counter suffix

Build an interactive browser dashboard that loads a CSV dataset and renders filterable charts.

• Load any CSV and auto-detect numeric and categorical columns
• Render at least three chart types (bar, line, scatter) with Plotly
• Add dropdown filters to slice data by a categorical column
• Display a summary stats panel alongside the charts
• Package as a Dash app runnable with a single command

Concurrently fetch articles from multiple RSS feeds and a news API, deduplicate, rank by relevance, and serve results via a FastAPI endpoint.

• Fetch at least five RSS feeds concurrently with aiohttp and asyncio
• Call the NewsAPI in parallel alongside RSS fetching
• Deduplicate articles by normalized title similarity (difflib or rapidfuzz)
• Score and rank articles by keyword relevance from a user query
• Expose a GET /news?q= endpoint returning ranked JSON results with caching

Train a text classification model on a public spam dataset, wrap it in a production-ready API with monitoring and a retrain endpoint.

• Train a TF-IDF + Naive Bayes (and compare one other) model on the SMS Spam Collection dataset
• Achieve at least 97% accuracy; log precision, recall, and F1 to MLflow
• Serialize and load the model with joblib for zero-retraining startup
• Expose POST /predict and POST /retrain endpoints via FastAPI
• Add Prometheus metrics (request count, latency, prediction distribution) with a /metrics endpoint