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OncoScan

OncoScan is a web-based platform designed to provide AI-assisted cancer risk assessment and support. It leverages modern web technologies and AI capabilities to offer users an intuitive and informative experience.

🚀 Tech Stack

  • HTML – Structure of the web pages
  • CSS – Styling and layout design
  • JavaScript – Interactivity and dynamic behavior
  • Bootstrap – Responsive and mobile-first design
  • GitHub – Version control and project collaboration
  • Netlify – Hosting and deployment
  • Figma – UI/UX design and prototyping
  • Lyro AI Agent – AI chatbot for user interaction and assistance

🔥 Features

  • AI-Powered Cancer Risk Assessment: Users can input health-related data to receive an AI-driven preliminary risk assessment.
  • Interactive AI Chatbot (Lyro AI): Provides instant responses to queries related to cancer symptoms, risk factors, and general awareness.
  • User-Friendly Interface: Designed with Bootstrap for a clean and responsive experience.
  • Secure & Fast Hosting: Hosted on Netlify for reliable performance.
  • Easy Navigation & Accessibility: Optimized for seamless browsing across all devices.
  • Open-Source & Collaborative: Hosted on GitHub for community-driven improvements and contributions.

💡 Getting Started

Clone the Repository

bash git clone https://github.com/yourusername/oncoscan.git cd oncoscan

Open Locally

Simply open index.html in a browser to view the project locally.

Deploying on Netlify

  1. Push your repository to GitHub.
  2. Go to Netlify, connect your GitHub repo, and deploy.

🤖 AI Chatbot (Lyro AI)

The Lyro AI agent is integrated for real-time cancer-related assistance. To configure:

  1. Sign up for Lyro AI.
  2. Obtain the API key and integrate it into the chatbot section.
  3. Ensure correct API calls are made in script.js.

👥 Contributors

  • Your Name – Developer
  • Open for contributions!

📜 License

This project is open-source under the MIT License.


📢 Have suggestions or found a bug? Feel free to create an issue or contribute to the project on GitHub!