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VinGrade — AI Essay Grading Assistant
An AI-assisted grading platform that helps teachers evaluate essays against their own rubrics, review supporting evidence, and approve the final feedback.
My work covered rubric-based grading, evidence validation, teacher review, and LLM tracing. I connected the AI grading workflow to a React interface, keeping teachers in control of the final decision.
Built with Python, FastAPI, PostgreSQL/pgvector, React, and Langfuse.
Applied AI program project. Source code is private.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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A modern, animated AI-powered eCommerce analytics dashboard designed to help businesses track sales performance, monitor revenue, understand customer behavior, and make data-driven decisions.
The design combines a clean SaaS interface, intuitive data visualization, interactive dashboard elements, and smooth animations to create a more engaging user experience. Every section is designed to make complex analytics easier to understand while maintaining a professional, scalable, and user-friendly layout.
Super clean work!
Your next site visitor might be someone's AI agent.
Last week Sierra and Meta announced the Personal Agent Protocol, with Walmart, Shopify and Stripe among the partners. An agent can browse a store as a guest, and once the customer signs in, the customer decides if it can only read or also act.
If an agent reads your landing page before a person does, what would you design differently?
thenextweb.com
Sierra announces Personal Agent Protocol, an open standard for personal AI agents
Personal Agent Protocol is an open standard from Sierra, Meta, Shopify, Stripe and Walmart. Stripe and Shopify are already on a rival protocol run by Visa.
Clear, structured content first. An agent can't guess what's inside a hero video or a screenshot, so plain text, headings and alt text end up doing most of the work.
Your competitors can change their prices overnight. Your data collection system shouldn't miss it. 📊
Imagine checking 50 product pages every morning just to find out which prices have changed.
Now imagine getting that information automatically.
With Python web scraping and automation, businesses can build systems that:
→ Monitor product prices across multiple websites
→ Track stock availability
→ Compare competitor pricing
→ Record changes over time
→ Send alerts when something important changes
→ Export updated data to Excel or CSV
Instead of repeatedly checking websites, you get organized information that helps you make better business decisions.
This can be especially useful for e-commerce businesses, online retailers, and teams that regularly research competitors.
At ScrapePro Solutions, I build custom Python scraping and automation solutions tailored to specific business needs.
A quick question for e-commerce business owners:
If a competitor changed their product price today, how would you find out — manual checking or automatic alerts?
💬 Share your answer in the comments.
Two things bit me while building a price tracker. A page can come back "successful" but empty (in my case, compressed content the client couldn't decode), and saving that blindly overwrites good data. So I refuse any page with no title and no price, and only record a change when...