RIA (Rathi Intelligent Assistant)

Overview

RIA is a comprehensive AI assistant designed to integrate with various platforms and services. The project includes web, iOS, and macOS applications, a VS Code extension, AI services, and integrations with entertainment, financial, and smart home systems.

Project Structure

RIA/
├── app/                    # Main application
│   ├── web/               # Web application (React/Next.js)
│   ├── ios/               # iOS native app
│   ├── macos/             # macOS native app
│   └── shared/            # Shared components
│
├── vscode-extension/      # VS Code extension
│   ├── src/
│   │   ├── commands/     # Extension commands
│   │   ├── providers/    # VS Code providers
│   │   └── utils/        # Utilities
│   └── tests/            # Extension tests
│
├── ai-service/            # AI services
│   ├── src/
│   │   ├── models/       # AI models
│   │   ├── processors/   # Data processors
│   │   ├── api/         # API endpoints
│   │   └── utils/       # Utilities
│   ├── tests/           # AI service tests
│   └── config/          # Configuration files
│
├── integrations/          # External integrations
│   ├── entertainment/    # Entertainment services
│   │   ├── plex/        # Plex integration
│   │   └── streaming/   # Streaming services
│   ├── financial/       # Financial services
│   │   ├── robinhood/   # Robinhood integration
│   │   └── market-data/ # Market data services
│   └── smart-home/      # Smart home integration
│       ├── homekit/     # HomeKit integration
│       └── device-control/ # Device control
│
├── infrastructure/        # Infrastructure
│   ├── aws/             # AWS CDK infrastructure
│   │   ├── bin/        # CDK app entry points
│   │   ├── lib/        # Stack definitions
│   │   └── lambda/     # Lambda functions
│   └── scripts/        # Deployment scripts
│
└── docs/                 # Documentation
    ├── architecture/    # Architecture docs
    ├── api/            # API documentation
    └── guides/         # User guides

Key Features

Multi-Platform Support

Web application built with React/Next.js
Native iOS and macOS applications
VS Code extension for developer productivity

AI Services

Custom AI models for various tasks
Data processing pipelines
RESTful API endpoints for service integration

External Integrations

Entertainment services (Plex, streaming platforms)
Financial services (Robinhood, market data)
Smart home integration (HomeKit, device control)

Cloud Infrastructure

AWS CDK for infrastructure as code
Lambda functions for serverless computing
Deployment scripts for CI/CD pipelines

Technologies Used

Frontend: React, Next.js, Swift
Backend: Node.js, Python
AI/ML: TensorFlow, PyTorch
Cloud: AWS (Lambda, S3, DynamoDB)
DevOps: GitHub Actions, AWS CDK

Development Approach

The project follows a modular architecture with clear separation of concerns. Each component is designed to be independently deployable and testable, while still integrating seamlessly with the overall system. The infrastructure is defined as code using AWS CDK, enabling reproducible deployments across environments.