Data & prediction
Intelligent House Price Prediction
- Company team
- Academic work
- What I did
- Developed a project that organized property inputs and produced a prediction workflow.
- My role
- System design and implementation as an academic project.
Service 08 of 8
Copying data between tools, answering the same questions, writing the same reports. I build small AI assistants and automations that take that work off your plate, safely and with a human in the loop.
Typical timeline 1–6 weeks
Typical process
Every project is different, but the rhythm stays the same: short loops, clear decisions, no surprises.
We find the tasks that eat the most hours.
A quick working version on real examples.
Error handling, privacy and cost limits.
Your team knows how to use it and when not to.
Real, shipped work
Products I worked on that are out in the world. Facts only, no inflated numbers.
Data & prediction
Working examples
Run these tools, change their inputs and inspect the output. Example datasets are labeled inside each workspace.
Route sample orders through a real threshold rule and inspect each decision.
Open workspace →Parse JSON records, choose fields and export normalized CSV.
Open workspace →Execute a local validation/transform/action chain with a visible run log.
Open workspace →FAQ
We choose providers and settings that fit your privacy needs, and keep sensitive data out of prompts wherever possible.
The goal is to remove the boring parts so your people can do the work that needs a human.
Open the Intelligence workspace in the Studio to try real on-device semantic search, comparison and document mapping.
Tell me the goal and your rough budget. I'll reply within one business day with next steps.
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