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Ali Beheshti

• Apr 7

Developed a system that replaces traditional OCR by using AI to interpret full-page handwritten documents.

Instead of extracting text line-by-line, the system:

Identifies document type

Uses a structured JSON contract to define required fields

Sends full-page images to an AI model

Returns clean, structured data (including multi-record tables)

Supports:

Variable number of records per document

Field validation and normalization

Spreadsheet-ready outputs

This approach significantly improves accuracy compared to OCR-based solutions.

Composing AI Development Business Workflow Automation FastAPI Python Tesseract

Romans Numcevs

• Apr 26

Lately I’ve been building systems that turn raw data into useful answers.

I focus on:

data pipelines

API integrations

AI / RAG systems

One recent project: a custom RAG architecture for an LLM-based chat agent.

It takes documents → creates embeddings → retrieves relevant data → generates grounded AI answers.

Built with: Python, FastAPI, Qdrant, LLM APIs

Open to freelance work in: data pipelines, backend systems, and AI integrations.

Diagram below 👇

Python FastAPI rag

Joseph Tas

• Apr 27

Hi romans what you're doing is tough and requires skill and precision so I wish you good luck in your journey !

Sílvia Pinho

max

• Apr 26

As a UGC creator and social media marketer, I wanted a portfolio site that didn't just list my stats, but felt like a fun experience ✨

So ofc I had to merge my signature high-energy neon aesthetic with some gaming-inspired interactions, to showcase how I help the brands I work with make social media fun - which is always my ultimate goal!!

Building on Zo Computer was a trip! I went back and forth with it to find the perfect balance between "minimalist professional" and "arcade fun" - and I gotta say, my fav moment was when Zo’s AI tried to "help" by inventing a client named Alex from Habit Stack - it was a hilarious reminder that while AI is a powerful co-pilot, the human touch (and fact-checking!) is still the "secret sauce" in anything we do 🤣

Some of the key features for me would have to be:

⭐️ the "Loading... Press Start" entry screen we added last minute

⭐️ a custom cursor-following element mini-me

⭐️ and a neon-styled stats section highlighting my top client wins 🏆

What about you? What did you build? Leave your links below!! Here's mine: https://freelancingwithsilvia.zo.space/

zocomputerchallenge AI Development Web Design Descript Zo Computer

Ajayi Sarah

• Apr 27

Amazing work 👍

Rehbaz Ali

• Apr 25

A few years ago, writing code meant wrestling with bugs line by line, Googling errors at 2 a.m., and slowly learning why things worked. Today? An AI can write, debug, and optimize code in seconds. It feels like magic. But here’s the uncomfortable truth I keep noticing: many developers are using AI every day without really understanding what’s happening under the hood. I’ve seen it firsthand. When the AI output works, everything feels smooth. But the moment it breaks… confusion kicks in. Why did it fail? Why is the behavior inconsistent? Why doesn’t this solution scale? According to recent studies, more than 70% of developers admit they rely on AI tools without deeply understanding how they work. And that gap matters. Because when you don’t understand the system, you can’t truly control it. You can’t debug confidently. You can’t optimize intentionally. And innovation turns into guesswork. AI isn’t here to replace thinking — it’s here to amplify it. When developers understand the foundations behind AI — how models learn, why outputs differ, where limitations exist — something powerful happens. We stop treating AI like a black box and start using it as a creative partner. That’s where real progress lives. Not just in faster code, but in better decisions, ethical use, and stronger software. As AI continues to evolve, our responsibility grows with it. The goal isn’t to keep up. The goal is to understand — and then build something better.AI should be a tool we guide, not one we blindly follow.