Contact person: iOS AI Scheduling Bot -- 2

Phone:Show

Email:Show

Location: India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a native iPhone app that behaves like an AI-powered personal assistant focused on one thing: automating scheduling and reminders. The user will work entirely through an interactive UI—no voice or plain chat threads—so the design should feel as slick and intuitive as Apple’s own Calendar while quietly doing much more under the hood.

Here’s the experience I’m after: a user types or selects what they need (“Dentist next Tuesday at 3 pm,” “Remind me to send the report two hours before the meeting”), and the app instantly understands the intent, adds the event to the correct calendar, and sets push-notification reminders without any further taps. The moment the suggestion is confirmed, the interface updates in real time to show the newly created slot.

To make that happen, you’ll wire up three main layers:
• A Swift-based front-end that presents a clean, gesture-friendly scheduler, complete with date pickers, natural-language input, and a timeline view.
• An AI parsing module—Core ML, a lightweight Transformer model, or an OpenAI endpoint—that converts natural-language requests into structured calendar objects.
• Deep integration with EventKit and UserNotifications so created items and reminders live in the user’s default calendars and show native notifications.

Acceptance criteria:
• Natural-language requests entered via the UI are parsed with at least 90 % accuracy for date, time, and intent.
• Events and reminders sync instantly with iOS Calendar and survive app restarts.
• Push notifications fire exactly at the user-defined offset.
• The full project builds and runs on the latest Xcode and iOS version.

Feel free to suggest incremental improvements—perhaps optional voice commands or email parsing down the road—but the initial milestone is a rock-solid, interactive scheduling bot that users can trust out of the gate." (client-provided description)