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Aura is a mobile voice assistant designed to let users control and interact with their Android device using voice commands. It focuses on functionality, quick responses, and device-level actions without relying entirely on cloud-based AI services
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AI Voice Agent for Real Estate Lead Booking
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar — all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls — after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
Beautiful workflow by the way. My nicheeee
IQrate — Flutter Fintech App for iOS & Android
IQrate is a fintech mobile app that helps home buyers in Singapore
compare home loan packages and interest rates from multiple banks,
then apply directly with the bank of their choice.
I worked on this project as a Flutter developer, building a single
cross-platform codebase that ships to both iOS and Android.
What I delivered:
Cross-platform Flutter app for iOS and Android
Bank rate comparison and loan filtering by budget and tenure
REST API integration with the backend loan engine
Secure authentication and encrypted data handling
Push notification setup
App Store and Google Play submission, including Data Safety compliance and content rating
The app is live on both stores and rated 5.0 on Google Play.
With budget and tenure both changing the results, how did you handle overlapping API requests so a slower response could not replace the latest comparison?
Redesigned Linea's home screen. The bit i care about most is the signals panel, the system watches every run and flags anything that looks wrong: "hallucination suspected", "tool error", last seen, how often. you catch it before a user does.
Each execution shows its cost. the support assistant's about a cent a run. Second shot is the canvas where the flows get built.
Is the home page enough at a glance, or would you pull executions higher?
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