Mobile Application · Artificial Intelligence

AI-First Planning Assistant

An AI-assisted planning application that turns natural-language requests into personal and collaborative plans.

Year

2026

Status

MVP Development

Role

Product Design, Mobile Development, AI Integration

Duration

Independent Product

AI-First Planning Assistant main interface

Project Overview

Context and objective

The AI-First Planning Assistant is a mobile product concept developed to make planning easier for individuals and groups. Users can create schedules, manage checklists, reuse templates and receive AI-generated plan suggestions from natural-language prompts.

The Problem

What needed to change?

Planning tools often require users to manually divide goals into tasks, determine timing and organize multiple people. This creates friction, especially when users know what they want to achieve but do not know how to structure the plan.

The Solution

How the system responds

The application combines a calendar, task management, reusable templates, group planning and an AI suggestion workflow. Users describe their goal, review the generated plan and save approved items directly to their schedule.

Capabilities

Key features

✓Natural-language plan generation

✓Daily and hourly calendar views

✓Personal and group planning

✓Reusable plan templates

✓Task checklists and reminders

✓Firebase Authentication and email verification

✓Light and dark interface modes

My Contribution

Role and responsibilities

Defining the product scope and MVP

Designing mobile user flows and screens

Building the Flutter application architecture

Managing state with Riverpod

Integrating Firebase authentication

Designing the Gemini-powered planning workflow

Technology

Tools used in the project

FlutterDartRiverpodFirebaseGemini API

Engineering Decisions

Challenges and solutions

Turning AI output into usable actions

Generated text must become structured calendar items and tasks. I designed an approval step that converts AI suggestions into editable application data.

Personal and group workflows

Individual planning and shared plans require different permissions and update patterns. The architecture separates personal ownership from group membership and collaboration.

Outcome