Introduction
Welcome to the FeelyFeely internal development documentation. This documentation covers the technical architecture, APIs, and systems that power Ghana's most trusted marketplace for properties, vehicles, electronics, and more.
About FeelyFeely
FeelyFeely is Ghana's leading secure marketplace platform that enables safe buying and selling through:
- Product Validation - Rigorous authentication of all listings
- Secure Communication & Privacy - Protected buyer-seller interactions
- Verified Sellers - Comprehensive seller verification system
- End-to-End Digital Experience - Complete transactions without physical presence
- Expert Local Support - Ghana-based professionals handling complex processes
Platform Architecture
Our technical infrastructure supports a comprehensive marketplace ecosystem with multiple components:
Core Systems
- Marketplace Frontend (feelyfeely.com) - Public-facing marketplace interface
- Hub Platform (hub.feelyfeely.com) - Enhanced marketplace features and seller tools
- Content Delivery Network (CDN) - Fast, reliable asset delivery across Ghana and beyond
- External API Integrations - Third-party services for payments, verification, and logistics
Backend Services
- AI Models Integration - Automated listing validation, fraud detection, and content moderation
- Database Integrations - User data, product catalogs, transaction records, and analytics
- Geographic Services - Location-based features for property and service listings
- Image Processing - Automated image optimization, validation, and enhancement
- Vehicle Information Services - VIN validation, import regulation checks, and vehicle history
Security & Verification
- Authentication Systems - Multi-factor authentication and identity verification
- Payment Processing - Secure transaction handling and escrow services
- Fraud Detection - AI-powered suspicious activity monitoring
- Document Validation - Automated verification of property documents and vehicle papers
Development Environment
Technical Requirements
- Node.js version 18.0 or above
- Python 3.8+ for AI model services (lang folder contains localization modules)
- Access to internal API credentials and testing environments
- Understanding of marketplace business logic and Ghanaian regulatory requirements
Key Modules
Based on our codebase structure, the main components include:
- Authentication & Validation (
validation.py) - User and listing verification - Communication Systems (
email.py,sms.py) - User notifications and alerts - API Handlers (
http_request.py,html_response.py,json_response.py) - Request/response management - Data Processing (
json_encoder.py,json_ops.py) - Data serialization and manipulation - Security (
stringhash.py,dict_hash.py) - Data encryption and hashing - Localization (
lang.py) - Multi-language support for Ghanaian users
Getting Started
For Backend Developers
- Review API Documentation for marketplace endpoints
- Check Database Integrations for data models and relationships
- Study Security Considerations for handling sensitive user and transaction data
For Frontend Developers
- Explore Brand Foundation & Identity System for UI/UX consistency
- Review Asset Library & Resources for approved design components
- Check CDN Configuration for optimal asset delivery
For DevOps & Infrastructure
- Start with Architecture Overview to understand system topology
- Follow Configuration Guide for environment setup
- Review Deployment Guide for production release procedures
For Product & QA Teams
- Understand Application Guidelines & Usage Standards for feature requirements
- Review AI Models Integration for automated moderation and validation features
- Check Troubleshooting for common user issues and resolution steps
Internal Resources
This documentation is for FeelyFeely team members and covers the technical implementation details behind our marketplace platform. For user-facing information, refer to our public websites at feelyfeely.com and hub.feelyfeely.com.
Security Notice: This documentation contains sensitive technical information. Ensure proper access controls and do not share outside authorized team members.