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AI Customer Support Dashboard
Designed and developed a modern AI-powered customer support dashboard that helps businesses monitor customer interactions, automate responses, and track support performance in real time. The platform provides conversation analytics, ticket management, AI-assisted reply suggestions, and customer satisfaction metrics through an intuitive, responsive interface. Built with scalability and usability in mind, the dashboard enables support teams to resolve queries faster while gaining actionable insights from AI-driven analytics.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I designed and developed an AI-assisted application-building system that supports product definition, architecture, code generation, testing, review, deployment and controlled iteration.
Unlike unrestricted code generation, the platform uses structured workflows, specialist agents, human approvals, validation gates and deployment controls to create more accountable and reproducible software builds.
AI Customer Support Triage & Escalation — a working Make.com automation designed to handle support requests safely and consistently.
The workflow receives customer details through a webhook, validates and structures the request, then routes it based on urgency. High-priority requests receive an immediate confirmation and are marked for specialist review within 15 minutes. Normal or uncertain requests are sent to a human-review fallback so the automation does not guess or route customers to the wrong team.
I tested both paths with realistic requests and verified the results in Make’s execution logs. The urgent test completed the priority-response route, while the normal test correctly rejected that route and completed the human-review response.
Key capabilities demonstrated:
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:Velora is a full-stack AI platform designed to simplify complex workflows using artificial intelligence. It combines a modern Django backend with AI-driven features to automate tasks, improve decision-making, and provide an intuitive user experience. The platform emphasizes scalability, security, and performance while leveraging technologies such as Python, Django, REST APIs, PostgreSQL, and Machine Learning.
