AI-powered dream journaling backend with user authentication, dream records, subscription plans, feature limits, notifications, admin controls, and app configuration.
Dream Interpretension is a SaaS backend platform designed for users to record, organize, and understand their dreams through AI-assisted interpretation workflows. The system supports secure account access, dream history management, subscription-based feature access, usage limits, push notifications, admin configuration, marketing emails, and scalable operational control from one structured backend.
A backend-first summary of the product problem and the solution direction behind the full project delivery.
Dream Interpretension is a SaaS backend platform designed for users to record, organize, and understand their dreams through AI-assisted interpretation workflows. The system supports secure account access, dream history management, subscription-based feature access, usage limits, push notifications, admin configuration, marketing emails, and scalable operational control from one structured backend.
The product needed a reliable backend where users could securely create accounts, save dream records, access AI-powered dream interpretation features, and receive notifications while the business could control subscriptions, pricing, feature access, usage limits, trial rules, marketing emails, and global app settings from an admin panel.
I built a structured Django-based backend with PostgreSQL persistence, modular apps for accounts, chatbot/dream records, subscriptions, notifications, admin configuration, and marketing operations. The system includes Google and Apple login support, OTP-ready account flows, Stripe subscription and pricing structures, plan-feature mapping, push notification support, feature flags, app-level configuration, AdMob settings, trial limits, and scalable database relationships for future AI and mobile app expansion.
A single system architecture snapshot preserved as proof of the delivery design and implementation flow.
The stack used across the full build, covering service logic, data storage, infrastructure, cloud setup, frontend integration points, and delivery tooling.
The core capabilities were implemented as production-facing modules, shaped for real usage, maintainability, and future scale.
Feature 01
Secure user account system with email, password, active status, staff status, and admin access control.
Feature 02
User model support for Google subject IDs and Apple subject IDs for social authentication workflows.
Feature 03
OTP-ready account verification flow for login, signup, or sensitive account operations.
Feature 04
Support for free and paid user types to separate access levels across the platform.
Feature 05
Structured dream record storage for saving user dream entries, interpretation history, and dream-related data.
Feature 06
Backend structure for AI-assisted dream analysis, chatbot interaction, and personalized interpretation flows.
Feature 07
Subscription records connected with users, Stripe customer IDs, Stripe subscription IDs, and subscription status.
Feature 08
Admin-controlled pricing records with Stripe product IDs, Stripe price IDs, plan names, and billing configuration.
Feature 09
Plan-feature mapping that allows specific features to be attached to specific pricing plans.
Feature 10
Admin usage limit configuration for managing trial days, free-user limits, premium access, and feature restrictions.
Feature 11
Admin-controlled feature flag system for enabling or disabling app features without changing core code.
Feature 12
Central app configuration for global settings such as Google Drive integration, live chat support, ads, and trial rules.
Feature 13
Notification module for sending global, user-specific, and system-level messages.
Feature 14
Device push token structure for delivering mobile push notifications to users.
Feature 15
Notification recipient handling for tracking which users should receive specific notifications.
Feature 16
Admin marketing email structure for promotional messages, campaign communication, and user engagement.
Feature 17
Backend configuration support for interstitial ad IDs, ad caps, and monetization-related controls.
Feature 18
Configuration-ready support for enabling live chat assistance inside the application.
Feature 19
App-level configuration support for Google Drive backup or export workflows.
Feature 20
Additional simple data module available for testing, demonstration, or lightweight platform extension.
Feature 21
Backend-ready data structure for managing users, dreams, subscriptions, pricing, feature flags, notifications, and app settings.
Feature 22
Scalable API design approach for dream records, users, subscriptions, notifications, and admin tables.
The main engineering tradeoffs handled during delivery instead of being deferred into post-launch cleanup.
Production Tradeoff
Production Tradeoff
Production Tradeoff
Production Tradeoff
Production Tradeoff
Production Tradeoff
Production Tradeoff
Optimized the backend for faster response times, steadier throughput, and more predictable behavior under production traffic.
Applied practical safeguards across authentication, validation, permissions, and transport security to protect the platform in production.
Releases stay repeatable through a clear path from source control to health-checked production deployment.
Representative product surfaces supported by the APIs, workflows, and operational foundations built for the project.
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