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Janco

AI-powered janitorial services platform for Nigeria with on-demand and subscription cleaning, intelligent janitor matching, area-based pricing, and admin operations.

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Technologies

React Native
Expo
Next.js
FastAPI
Python
Supabase
PostgreSQL
OpenCV
YOLOv8
PyTorch
Firebase
Termii
Paystack

Challenge

JANCO needed to transform a fragmented cleaning marketplace into a trustworthy, scalable, and reliable platform that could handle fair pricing, janitor verification, worker matching, payments, and low-bandwidth environments.

Solution

Designed JANCO around a backend-first FastAPI architecture, centralizing authentication, pricing, trust scoring, and worker dispatch. A weighted matching system considers distance, quality, fairness, and skills, while configurable pricing and verification improve security, scalability, transparency, and reliability.

Key Features

Cross-platform mobile booking app

FastAPI backend with async Python services

AI-powered area estimation using OpenCV + YOLO

Location-based cleaner assignment

Wallet and subscription billing

Supabase authentication and storage

Push notifications via Firebase and WhatsApp

Admin dashboard for operations and monitoring

Project Details

The Janco was developed to address janco needed to transform a fragmented cleaning marketplace into a trustworthy, scalable, and reliable platform that could handle fair pricing, janitor verification, worker matching, payments, and low-bandwidth environments. This project showcases my skills in React Native, Expo, Next.js, and other technologies.

During development, I focused on creating a solution that would be both effective and user-friendly. The approach involved designed janco around a backend-first fastapi architecture, centralizing authentication, pricing, trust scoring, and worker dispatch. a weighted matching system considers distance, quality, fairness, and skills, while configurable pricing and verification improve security, scalability, transparency, and reliability.

The application features a clean, intuitive interface that allows users to easily navigate and utilize all functionality. Key features include Cross-platform mobile booking app, FastAPI backend with async Python services, AI-powered area estimation using OpenCV + YOLO, and more.

This project demonstrates my ability to understand complex problems and develop effective solutions using modern technologies and best practices in software development.

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