A small Python demo for a common e-commerce problem: messy product catalog CSVs. On a fictional 8...

A small Python demo for a common e-commerce problem: messy product catalog CSVs. On a fictional 8...A small Python demo for a common e-commerce problem: messy product catalog CSVs. On a fictional 8...

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权邹

• Sep 25

A small Python demo for a common e-commerce problem: messy product catalog CSVs. On a fictional 8-row sample it produced 4 clean rows, flagged 4 rows, and wrote an issue log plus summary. Checks include missing SKU/name, duplicate SKUs, invalid price or stock, and spreadsheet formula-safe output. The tool itself runs locally with no network call.

I can do a first pass on one supplied CSV (up to 1,000 rows) for $29: cleaned CSV, issue log, and a short summary. Please start with column names or a non-sensitive sample so we can agree on rules.

Demo: https://contra.com/p/qE3W6QZ2-catalog-cleaner-python-csv-validation-demo

Service: https://contra.com/s/FcrFbroF-clean-and-validate-one-product-catalog-csv

Python datacleaning csv

Zakaria MAMOUMI

pro

• Oct 19

QuoteDesk: instant quotes for a cleaning company, and the follow-ups nobody has time to send. A home cleaning business loses jobs in two places: quotes that take a day to come back, and open quotes nobody chases. QuoteDesk handles both for Maple & Mop, a demo company. What runs on its own: • Priced on the server. The client sees a live, itemized price; the saved total is recomputed from the owner's price list, never trusted from the browser, in integer cents. • The quote is emailed the second it is saved, with a link to book or pick another slot. • One follow-up, never two: an hourly job nudges quotes still open after 24 hours, stamps them so it can't fire twice, and skips anyone who booked. • A day-before reminder for every booked cleaning, also sent once. • AI reads the client's notes: "two cats, fourth-floor walk-up" becomes Pets and Stairs flags plus 30 extra minutes for the crew. • Owner dashboard: quotes today, booking rate, expected revenue, bookings after a follow-up, a 7-day schedule and an email timeline per quote. Owner actions require the Base44 admin login, checked on the server. Judges get a read-only demo view with masked emails: Owner login, then View the demo dashboard.

Completed work

Base44 base44challenge Automation Engineering

Ergini K

pro

• Oct 21

who sets the extra 30 minutes for cats, owner or model?

Esther Aribilola

• Oct 19

Understanding Vaccine Cold-Chain Performance

I used stimulated data to examine the effect of storage equipment and associated variables on vaccine excursion.

I downloaded the Vaccine Cold Chain Management dataset from Hugging Face using Python. I organized and combined the data from regional vaccine stores, district hospitals, and rural health posts using MySQL, then used Tableau Public to build an interactive dashboard exploring equipment functionality, staff training, temperature compliance, vaccine wastage, and power outages.

Three key insights were uncovered.

Rural health posts recorded the highest heat and freeze excursion rates.

Longer power outages were associated with lower temperature compliance.

Reliable equipment alone isn't enough. Staff training and proper maintenance matter too.

Data Analysis Web Scraping Data Visualization MySQL Python Tableau

Med elbelghiti

• Oct 22

Very interesting 👌

Kevin Minn

• Oct 19

Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.

It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.

I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io is recorded and anchored to Rekor every minute.

Completed work