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🏗️ ForwardDeployAI

AI-powered Forward Deployment Engineering assistant — from client brief to production-ready architecture in minutes.

Hugging Face Spaces Python Gradio License: MIT


What It Does

Try Here

https://huggingface.co/spaces/Faraz618/ForwardDeployAI

Demo

image

ForwardDeployAI simulates the complete workflow of a Forward Deployment Engineer — the technical leader who bridges client business problems and scalable solution architecture.

Tab What it does
📋 Requirement Analyzer Classifies free-text requirements into 10 technical categories using zero-shot classification
🏗️ Solution Architect Recommends architecture patterns, component stacks, and phased delivery plans
🔍 Fit-Gap Analyzer Evaluates 8 core components against available capabilities, flags gaps
📄 Deployment Report Compiles everything into a downloadable branded PDF

Models Used

Model Task
facebook/bart-large-mnli Zero-shot requirement classification
facebook/bart-large-cnn Requirement summarization

Quick Start

Run on Hugging Face Spaces (no setup)

👉 Open the Space

Run locally

git clone https://github.com/Faraz6180/forward-deploy-ai
cd forward-deploy-ai
pip install -r requirements.txt
python app.py

Demo

  1. Enter a client name, industry, and business requirements in the Client Brief panel
  2. Click through each tab to analyze, architect, gap-check, and report
  3. Download the PDF from the Deployment Report tab

Built By

Faraz Mubeen Haider — AI Engineer
LinkedIn · GitHub

About

AI-powered Forward Deployment Engineering assistant — classifies client requirements, generates solution architectures, runs fit-gap analyses, and produces PDF deployment reports. Built with Hugging Face BART models and Gradio.

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