This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend
My family knows I work in software.
But if I say:
"I'm working with Spring Boot, REST APIs, PostgreSQL, React, and microservices."
…I get the classic response:
"Okay, but what do you actually do?"
That's the problem I wanted to solve.
So I built FamilyTech Translator — a small AI-powered tool that translates technical concepts into explanations based on the actual person you're talking to.
Instead of asking:
"Explain Kubernetes simply."
you can say:
"Explain Kubernetes to my grandfather, who is a tailor and also does farm work."
The AI doesn't just simplify the definition.
It tries to explain the concept through something that person already understands.
For example, Kubernetes can be explained through workers, work distribution, backup arrangements, and managing multiple tasks — rather than immediately throwing containers, pods, deployments, and clusters at someone.
The app remembers the context of the person you're explaining something to:
So the same concept can receive completely different explanations for different people.
A software engineer doesn't need another generic "ELI5" tool.
I wanted something closer to:
"Explain it like this person would understand it."
Live Demo: https://family-techtranslator.vercel.app/
Backend: https://familytech-translator-backend.onrender.com
The basic flow is:
The last part is important.
Understanding shouldn't just mean:
"I read the explanation."
It should mean:
"I can explain it back."
GitHub: https://github.com/savit0r/Family_Techtranslator
The project is structured around a simple architecture:
text
React + TypeScript
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Spring Boot REST API
│
├──────────────► PostgreSQL
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Local Open-Source AI
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Open-Weight Model