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SMM

AI-Powered Cost Estimation Platform

An AI-assisted application designed to support cost estimation through software workflows and administrative interfaces.

AI-assisted estimation through software workflows

Web application · AI-assisted← All projects

Context

The problem it addresses

This application supports cost estimation by combining an AI-assisted capability with conventional software: user-facing features, API integrations, stored data and administrative interfaces.

Purpose
Support cost estimation through an application with administrative control.

My role

What I worked on

  • Application features
  • API integrations
  • Administrative interfaces
  • Database functionality
  • Deployment workflows

This case study covers the application built around the AI capability: features, integrations, administration, data and deployment. It does not cover model development.

System

Modules and functionality

01

Application

  • Application features
  • Administrative interfaces

02

Integration & data

  • API integrations
  • Database functionality

03

Delivery

  • Deployment workflows

Architecture

System structure

  1. 01

    Application interface

    Features and administration

  2. 02

    API integrations

    Connecting to the AI capability

  3. 03

    Database

    Stored data

  4. 04

    Deployment

    Release workflow

Simplified outline of the application around the AI capability.

Interface

Interface concept

An illustrative interface composition inspired by the project’s modules. It is not a screenshot of the production software.

Engineering focus

Where the engineering sits

Integrations
Connecting the application to the services it depends on through APIs.
Administration
Interfaces that let administrators manage the system.
Data
Database functionality supporting the application.
Deployment
Workflows for releasing the application.

Technologies

Concepts and tools

Engineering concepts

API integrationAdministrative interfacesDatabase functionalityDeployment workflows

Perspective

Engineering perspective

  • AI-assisted features still depend on ordinary engineering: clear interfaces, reliable integrations and manageable data.
  • Keeping the integration boundary explicit makes the application easier to maintain as the underlying capability changes.

More work

Interested in how this was built?

I’m happy to walk through the engineering decisions behind this work.

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