AI-Assisted Dental Appointment & Patient Experience WebsiteAI-Assisted Dental Appointment & Patient Experience Website
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DENTIVA AI — Smart Dental Appointment & Patient Experience Website
DENTIVA AI is a modern dental clinic website designed to combine a professional healthcare experience with AI-assisted digital automation.
The website includes:
Modern responsive dental clinic interface
Multi-step online appointment booking
Service, date and time selection
Patient information collection
Appointment confirmation workflow
AI-powered patient assistant concept for answering routine questions and guiding users toward appointments
Automated appointment confirmation and reminder workflow
Responsive desktop and mobile experience
Emergency-information guidance with appropriate limitations on AI medical responses
Professional service, about, contact and clinic information sections
Built with AI-assisted development
This project was developed using modern AI development tools as part of my workflow. I believe AI is becoming an important part of software development, but the developer still plays the essential role of understanding the technology, defining requirements, directing the AI, modifying the generated implementation, testing functionality, identifying issues, and making the final product usable and professional.
I have the underlying programming and development skills to build the website myself. AI was used as a development technique and productivity tool, not as a replacement for my technical understanding.
I personally structured the project requirements, selected the functionality, reviewed and modified the implementation, tested the user flows, and refined the overall experience.
Tech / Concepts: HTML, CSS, JavaScript, responsive web development, appointment workflows, browser storage, AI-assisted development and automation concepts.
Designed & developed by Alishba Kashif BSIT Student | Web & Software Developer
Johnson's avatar
The AI assistant handling routine questions seems to cut down the back and forth with patients, letting the team focus on complex cases.
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