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built a Medical Survey Generator that turns a simple prompt into a customizable, ready-to-use survey in seconds. Would love your feedback.
Built a Medical Survey Generator that turns a simple prompt into a fully structured survey in seconds.
Just describe what you need, and it generates a mix of:
• Multiple-choice questions
• Checkbox selections
• Open-ended responses
• And more tailored formats
You’re not locked...
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Lately I’ve been building systems that turn raw data into useful answers.
I focus on:
data pipelines
API integrations
AI / RAG systems
One recent project:
a custom RAG architecture for an LLM-based chat agent.
It takes documents → creates embeddings → retrieves relevant data → generates grounded AI answers.
Built with:
Python, FastAPI, Qdrant, LLM APIs
Open to freelance work in:
data pipelines, backend systems, and AI integrations.
Diagram below 👇
Hi romans what you're doing is tough and requires skill and precision so I wish you good luck in your journey !
The Medical Survey Generator
Project Overview
Designed and developed a fully functional AI-powered survey generation tool tailored for the medical industry. The tool eliminates the time-consuming process of manually crafting product-specific surveys by allowing users to generate a complete, relevant questionnaire in seconds — simply by describing a medical product in plain text.
The Problem It Solves
Medical researchers, product teams, and healthcare professionals often need to collect structured feedback on specific medical devices or products — thermometers, blood pressure monitors, glucose meters, and more. Writing 10 relevant, well-structured questions manually for each product is repetitive and slow. This tool automates the entire process.
How It Works
The user opens the tool and types a short prompt describing a medical product
Example: "I want a survey for a digital thermometer used in home care"
The system processes the prompt using [AI model used — e.g. OpenAI GPT-4 / Gemini]
Within seconds, a 10-question survey is generated, tailored specifically to that product
Questions cover relevant dimensions such as ease of use, accuracy, design, reliability, and user satisfaction
The user can [review / edit / export / share] the generated survey — (add whatever actions are available)
Dropes ✧ The 100% Autonomous Sales Machine
Redefining e-commerce by shifting from manual operations to a high-performance, AI-driven ecosystem. Built for scale, engineered for precision.
The Concept ◢
Dropes eliminates the "operational tax." While the system executes the entire product lifecycle—from sourcing to fulfillment—the owner focuses exclusively on growth and ROI.
Core Automation Architecture ✧
◈ Smart Inventory | Custom sync.ts & fetch_200.js scripts that detect trends, verify real-time stock, and inject premium assets into the frontend.
◈ Financial Intelligence | A real-time pricing engine that calculates dynamic margins, shielding profitability against manual errors.
◈ Conversion Engineering | Automated social proof (SocialProofPopup.tsx) and high-impact scarcity triggers designed to maximize CR.
◈ One-Click Revenue | Custom UpsellModal.tsx logic that inflates AOV through intelligent, automated product bundling.
◈ GraphQL Logistics | 100% hands-off fulfillment. Order data flows instantly to local suppliers via API for 24h delivery.
The Stack ⬩
Frontend: React / TypeScript / Tailwind CSS
Backend: Node.js / Custom Automation Scripts
Data: GraphQL / REST API Integration
Nice quality work nice choice of tech stack.
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