Recipai – AI Cooking Assistant

Group Case Study

Overview

Recipai is an AI-powered cooking assistant designed to help users plan meals and personalize their cooking experience.

This case study highlights my individual product thinking and contributions within a team-based project.

Problem

• Users struggle to decide what to cook on a daily basis
• Managing dietary restrictions is challenging
• Recipes and grocery planning feel disconnected

Users

• Busy students and young professionals
• Users with dietary restrictions

Goals

• Reduce decision fatigue when choosing meals
• Enable personalized recipe recommendations
• Simplify grocery planning

Solution

• AI Chat Assistant for recipe discovery and guidance
• Personalization settings for dietary preferences
• Smart shopping lists to streamline grocery preparation

Trade-offs & Constraints

Due to time and scope constraints, advanced features such as nutrition tracking were deprioritized in favor of delivering a stable and usable MVP.

Outcome & Learnings

This project strengthened my ability to translate user needs into product decisions, balance scope and feasibility, and communicate product value clearly.

CommuteIQ – Smart Bus Route Decision Tool

Individual Case Study

Overview

CommuteIQ is a conceptual product designed to help bus commuters choose routes based on convenience, not just speed.

Users

• Daily bus commuters
• Students and working professionals

Goals

• Reduce cognitive load when choosing routes
• Improve commute decision confidence

Problem

Daily bus commuters often choose routes based only on travel time, ignoring transfers, walking distance, and convenience.

Solution

• Route comparison based on transfers, walking distance, and speed
• Saved routes for frequent destinations (work, school)
• Clear visual decision flow for faster choices

Product Thinking

• Defined MVP based on daily commuter pain points
• Designed end-to-end user flow and wireframes
• Identified KPIs: route save rate, repeat usage

Outcome & Learnings

CommuteIQ helped me practice framing everyday problems into product opportunities and communicating trade-offs clearly.