AI-Driven Aircraft Fault Isolation Web App

Job ID: 39277452

Budget: $750 – $1,500 USD

I'm seeking a skilled developer to create an MVP of an aircraft fault isolation system (PAFIS) web app. This project is crucial for an upcoming industry event and a federal grant application.

Key Features:
- A user-friendly input form accepting:
- Aircraft type
- ATA code
- Fault description
- A backend that utilizes simple AI or rule-based logic to match inputs with mock data
- An output screen displaying probable causes and ATA references
- An optional feature for a downloadable report

Tech Stack:
- Backend: Python (FastAPI or Flask)
- AI Logic: NLP using spaCy
- Frontend: Basic HTML/CSS/JS
- Hosting: Preferably Heroku or Render

Timeline:
- A clickable demo is required within 7 days, with final adjustments within 2-3 weeks.

Budget: $1,000, distributed in milestones.

Ideal Skills:
- Proficiency in Python and using FastAPI or Flask
- Experience with spaCy for NLP
- Strong skills in basic HTML/CSS/JS
- Familiarity with hosting on Heroku or Render

Please note, the aim is to develop a simple yet effective web app that can convincingly demonstrate the capabilities of our AI-driven fault isolation tool. Your ability to deliver a polished final product within the given timeframe will be key to the success of this project.
Related categories: JavaScript Python CSS Machine Learning (ML) HTML