Production-grade backend · Django REST Framework · AI Summarization · Social Features · Subscription Billing
A scalable SaaS backend powering smart notes, AI summarization, social collaboration, and subscription billing — built API-first to support a React Native mobile frontend.
Most note-taking apps are passive. This platform is active — it reads your notes, summarizes them, lets you chat with them, and surfaces trending content from people you follow. Backed by a production-grade Django backend with full subscription and payment infrastructure.
┌──────────────────────────────────────────────────────────────┐
│ API LAYER (Django REST Framework) │
│ Auth · Notes · Social · Subscriptions · AI · Support │
└───────────┬──────────────────────────────────┬───────────────┘
│ │
┌────────▼────────┐ ┌────────▼────────┐
│ Core Services │ │ AI / NLP │
│ Notes · Plans │ │ Summarization │
│ Social · Chat │ │ Chat w/ Notes │
└────────┬────────┘ └────────┬────────┘
│ │
┌────────▼──────────────────────────────────▼────────┐
│ Data & Infrastructure Layer │
│ PostgreSQL · Redis (cache + DLQ) · Background Jobs │
│ AWS (EC2, RDS, S3) · Docker · CI/CD │
└─────────────────────────────────────────────────────┘
│
┌────────▼────────┐
│ React Native │
│ Mobile Client │
│ (separate repo) │
└─────────────────┘
- AI note summarization — condenses long-form notes and journals into key insights
- Chat with notes — ask questions, extract context, get intelligent responses from your own content
- NLP-powered content processing for smarter knowledge management
- Public and private note creation with controlled visibility
- Personal journaling system with structured workflows
- Save, organize, and manage a personal note library
- Planner for task and goal organization
- Follow / Following system with social feed
- Trending notes discovery across the platform
- Selective note sharing — followers or specific users
- Public knowledge-sharing with fine-grained access control
- Subscription state machine — trial → paid transitions with automated billing
- Secure payment workflows with idempotent transaction handling
- Invoice generation and transaction management
- Feature gating based on active subscription plan
- JWT authentication with RBAC permission layers
- Private/public content enforcement at API level
- Dead-Letter Queues (DLQ) with exponential backoff for async workflows
- Notification-ready architecture with background job processing
| Layer | Technology |
|---|---|
| Backend | Python · Django · Django REST Framework |
| AI / NLP | NLP summarization · Chat inference pipelines |
| Database | PostgreSQL · MySQL |
| Caching & Queues | Redis · DLQ · Background Jobs |
| Cloud | AWS (EC2, RDS, S3) |
| DevOps | Docker · CI/CD |
| Mobile Client | React Native (separate repository) |
This repository contains exclusively the backend API layer:
- Authentication & authorization (JWT, RBAC)
- Notes, journaling, social, and planner logic
- AI integration and NLP processing pipelines
- Subscription billing and payment workflows
- Background jobs, async task orchestration
Frontend (React Native) is intentionally maintained in a separate repository to enforce clean service boundaries and enable independent deployment cycles.
# Clone the repository
git clone https://github.com/amarkumar55/ai-smart-notes-saas.git
cd ai-smart-notes-saas
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # macOS / Linux
venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
# Configure environment variables
cp .env.example .env
# Edit .env with your DB, Redis, AWS, and AI credentials
# Run migrations
python manage.py migrate
# Start development server
python manage.py runserver- Personal knowledge management and self-reflection apps
- Creator-driven content and note-sharing platforms
- AI-assisted productivity and journaling tools
- Subscription-based mobile SaaS backends
Amar Kumar — Senior Backend Engineer · IBM Certified AI Engineer
Specializing in distributed systems, AI-powered SaaS backends, and production-scale Python architecture.
This project is licensed under a restrictive license.
Commercial use, redistribution, or modification is not permitted without prior written authorization.
Built API-first — clean service boundaries, production-grade reliability, AI as a core feature not an afterthought.