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FreelancePro AI is an LLM-powered chatbot built to help freelancers with common freelancing questions and guidance. I developed it using Python, an LLM API, and Gradio, then deployed it on Hugging Face Spaces. The project demonstrates my skills in LLM integration, chatbot development, and AI application deployment.
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Finally subscribed to Contra Pro🔥
I started using Contra a while back, but honestly, I didn’t pay much attention to it.
So I’m going to take it more seriously now and stay active here for the next months. I’ll be posting consistently and sharing what I’m working on.
Let’s see how Contra helps me grow my freelance business.
Would really appreciate your support along the way🙌
btw, I’m also taking on new website design and Framer projects this September. DM me if you have a project.🚀
great theme
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I built a workflow that turns a business website into a testable AI phone receptionist.
The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call.
When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the caller’s details and preferred time for staff follow-up.
If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls.
The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information.
The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation.
The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included.
I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
