Wayfinder - Personalized Journey And Planning Platform by Dinesh KumarWayfinder - Personalized Journey And Planning Platform by Dinesh Kumar

Wayfinder - Personalized Journey And Planning Platform

Dinesh Kumar

Dinesh Kumar

An AI-based app shaped as a public-facing case study for personalized planning, user preferences, recommendation flows, and AI-assisted decision support.
Project Year 2026Recommendations
Wayfinder - AI Planning And Recommendation Assistant project visual
Overview
Wayfinder presents a polished AI product concept around guided planning, preference capture, recommendations, and a smoother decision-making flow for users.
The project is useful in the portfolio because it shows AI product thinking beyond standard delivery: shaping a user journey, turning scattered inputs into structured recommendations, and designing a system for AI-assisted personalization.
Engagement Breakdown

Problem

Users often struggle when planning requires too many disconnected decisions. The product needed a guided flow that could collect preferences and turn them into clearer next steps.

Solution

The concept was structured around onboarding, preference modeling, AI-assisted recommendation logic, and a responsive interface that keeps planning decisions organized.

Result

Wayfinder now works as a stronger public portfolio case study for AI personalization, product UX, recommendations, and full-stack product design.

Portfolio value

The project adds a useful product-lab example with a professional public identity and clear implementation context.
Confidentiality Note
Certain product details and implementation specifics are intentionally summarized for public presentation.
Technologies used in AI product development
React
TypeScript
PostgreSQL
OpenAI API

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Posted Sep 9, 2026

A planning and discovery product concept focused on guided user journeys, preference capture, recommendations, and AI-ready personalization workflows.