AI Automation for Web Platform
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted2 hours ago
I am looking to bring intelligent automation into a web-based environment as quickly as possible. The core requirement is straightforward: build, configure, and deploy an AI-driven workflow that plugs smoothly into a web application. Because the project is on an ASAP timeline, I need someone who can move from planning to production without lengthy ramp-up.
Here’s what I need from you:
• A brief discovery session to pinpoint the highest-impact processes we can automate right away.
• Design and development of the automation logic—whether that involves machine-learning models, rule-based engines, or a combination of both—written in a web-friendly stack (Python/Flask or Node/Express are perfectly fine, but I’m open to other proven frameworks).
• Integration with the existing web application through clean, well-documented APIs so the new AI component feels native.
• Deployment to a cloud host (AWS, GCP, Azure, or similar) with basic monitoring in place.
• Clear hand-off documentation and a quick knowledge-transfer call so my team can maintain and extend the solution.
Acceptance criteria: the automated workflow must run end-to-end inside the web app, produce consistent results, handle edge-cases gracefully, and come with tests demonstrating its reliability.
If you’ve built similar web-centric AI automations before and can jump in immediately, let’s talk—speed and clarity matter most on this one.
Here’s what I need from you:
• A brief discovery session to pinpoint the highest-impact processes we can automate right away.
• Design and development of the automation logic—whether that involves machine-learning models, rule-based engines, or a combination of both—written in a web-friendly stack (Python/Flask or Node/Express are perfectly fine, but I’m open to other proven frameworks).
• Integration with the existing web application through clean, well-documented APIs so the new AI component feels native.
• Deployment to a cloud host (AWS, GCP, Azure, or similar) with basic monitoring in place.
• Clear hand-off documentation and a quick knowledge-transfer call so my team can maintain and extend the solution.
Acceptance criteria: the automated workflow must run end-to-end inside the web app, produce consistent results, handle edge-cases gracefully, and come with tests demonstrating its reliability.
If you’ve built similar web-centric AI automations before and can jump in immediately, let’s talk—speed and clarity matter most on this one.
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