Skip to content

ivan-bukvic/wellora

Repository files navigation

Wellora

AI-powered behavioral analytics SaaS platform designed to transform structured daily activity data into meaningful insights, trend analysis, and reflection-driven analytics.

Overview

Wellora combines habit tracking, real-time analytics, and AI-generated behavioral insights into a calm, data-focused SaaS experience centered around clarity and long-term pattern recognition.

The platform processes structured behavioral data including sleep, hydration, movement, mindfulness, and daily routines to generate actionable reflections and consistency metrics.

Core Features

  • Behavioral analytics dashboard
  • Habit & activity tracking
  • Time-series data visualization
  • AI-generated reflections & insights
  • Goal tracking & consistency metrics
  • Real-time analytics updates
  • Historical trend analysis
  • Calendar-based activity tracking
  • Secure multi-user data isolation

AI Functionality

Wellora uses AI to analyze structured behavioral datasets and generate:

  • Behavioral pattern detection
  • Weekly reflections
  • Trend analysis
  • Consistency insights
  • Natural-language summaries

The AI system is analysis-driven and focused on insight generation rather than chatbot interactions.

Tech Stack

  • React
  • TypeScript
  • Supabase
  • PostgreSQL
  • OpenAI API
  • Tailwind CSS

Architecture Highlights

  • Full-stack SaaS architecture
  • Time-series data systems
  • Real-time analytics computation
  • Row-Level Security (RLS)
  • AI-powered insight generation
  • Structured behavioral data modeling
  • Responsive analytics dashboard systems

Live Demo

https://wellora.synidox.com/

Focus Areas

  • AI SaaS development
  • Behavioral analytics
  • Data visualization
  • Wellness applications
  • Analytics dashboards
  • Structured data systems
  • Product-focused UX

About

AI-powered behavioral analytics SaaS platform focused on real-time insights, habit tracking, and structured data visualization.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors