Aquaflow — Wastewater Compliance Platform

Real-time IoT monitoring + AI breach prediction + automated compliance reporting

Demo

[Live Demo Link] | [Pitch Video Link]

Quick Start

Prerequisites

• Node.js 20+
• Python 3.11+
• PostgreSQL 15+

1. Clone & Install

git clone https://github.com/Amogh-007-Rin/aquaflow
cd aquaflow\client
npm install
cd ..\ai-engine
pip install -r requirements.txt

2. Database Setup

cd client
copy .env.local.example .env.local
npm run prisma:generate
npm run prisma:push
npm run prisma:seed

3. Start Services

# Terminal 1 — AI Engine
cd ai-engine
uvicorn main:app --reload --port 8000

# Terminal 2 — Frontend
cd client
npm install
npm run dev

Architecture

• Frontend: Next.js App Router + TypeScript + Tailwind CSS + Recharts + React Leaflet
• Backend: FastAPI + APScheduler + prediction engine + report generation
• Data: Prisma/Postgres for application data
• Realtime: SSE stream proxied through Next.js API route

Compliance Parameters

Section 82 thresholds are defined in client/lib/constants.ts and cover pH, COD, BOD, TSS, temperature, ammonia, and heavy metals.

API Reference

• FastAPI docs: http://localhost:8000/docs
• Frontend API routes: client/app/api