AI-Driven Web Automation App

The project is a web-based application that brings together artificial intelligence, process automation and robust application logic. The core goal is to turn a set of high-level ideas into a working digital product that can analyse data, trigger automated actions and continuously learn from user input.

Scope of work
• Artificial Intelligence – model selection or custom training so the app can interpret user data and make smart, contextual decisions in real time.
• Automation – orchestration of background jobs, API integrations and event-based workflows that eliminate repetitive manual steps.
• Full Web Application – complete front-end and back-end build, responsive UI and secure user management.

Technology stack
No hard restrictions are in place. Instead of the usual Python or JavaScript stacks, I am open to alternative solutions that you can justify for performance, scalability or licensing reasons—whether that is Go, C#, Rust, Elixir or an emerging framework that better fits the problem.

Deliverables
- Source code in a version-controlled repository
- Deployed web app accessible on a staging URL
- Brief technical documentation covering setup, architecture and AI/automation components
- Short hand-off call or screen-share to walk through deployment and configuration

Acceptance criteria
1. All listed features run reliably via the web interface on modern browsers.
2. Automated processes execute without manual intervention and log results for audit.
3. The AI component demonstrates measurable improvement or accuracy after training cycles.
4. Code passes basic linting/tests and instructions reproduce the build on a fresh machine.

Share a concise plan outlining the proposed stack, main libraries or cloud services, estimated timeline and any prior work that shows relevant AI and automation experience.