PersonaPath

Inspiration

I wanted to solve a deeply personal challenge:

Why is it so hard to stick to habits or choose a career that actually suits us?

Most advice is generic and doesn’t take into account who you are — your personality, your daily behavior, your mindset.
I thought: What if you could coach yourself — with data?

That’s how PersonaPath was born:
A platform that uses MBTI personality traits, behavioral data, and AI to give people truly personalized habit and career coaching.

What it does

PersonaPath is an AI-powered coaching app that helps users:

Take a personality quiz (MBTI) to generate a data-driven profile
Track and manage daily habits
Write journal entries, which are analyzed using Gemini to extract sentiment and motivation
Get personalized AI recommendations — including habits, careers, and learning strategies
View charts and visualizations based on their behavior trends over time

All user data is securely stored in MongoDB Atlas, linked via Auth0, and processed in real-time using Gemini.

How I built it

Frontend: Next.js + React + Tailwind CSS
Backend: Node.js (Express)
Authentication: Auth0
Database: MongoDB Atlas
AI Integration: Google Gemini API
Data Visualization: Chart.js

Challenges I ran into

I struggled at first to get Gemini to give useful and consistent insights, but after some trial and error with the prompts, I figured out how to make it work.

Accomplishments that I am proud of

Fully functional full-stack app with login, data storage, AI features, and visualizations
Built an entire data pipeline from user input → AI processing → analytics