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Design and Development of ML-Powered Chatbot for Cancer Support Platform

future-processing.com

Non-profit

Health & Fitness

Medical

Challenges in Website Usability and Chatbot Sophistication

Cancer Central's existing website required optimization to manage 600+ annual users and 100+ partner organizations. The platform needed enhanced content richness, streamlined user experience, and a transition from basic chat integration to an intelligent ML-driven chatbot capable of proactive support and resource recommendations.

About the Client

A UK-based cancer platform leveraging AI to connect individuals affected by cancer with personalized support, information, and resources.

Key Goals for Platform Enhancement

Redesign website for improved content organization and user navigation
Develop an ML-based chatbot (Ave) with advanced conversational capabilities
Implement personalized suggestion systems for cancer-related resources
Ensure cross-platform consistency across mobile and desktop interfaces
Validate solutions through user testing and iterative feedback

Core System Capabilities

Natural Language Processing (NLP) for context-aware conversations
Personalized resource recommendations based on user needs
Seamless integration with existing backend systems
Voice chart guidelines for consistent chatbot communication
User testing framework for continuous improvement

Technology Stack Preferences

Machine Learning frameworks (e.g., TensorFlow/PyTorch)

Node.js

React

Cloud-based backend solutions

System Integration Needs

Existing cancer organization databases
Third-party chat platforms
User analytics tools

Performance and Security Standards

High scalability for pandemic-level traffic spikes
Sub-second response times for chatbot interactions
HIPAA-compliant data security
WCAG 2.1 accessibility compliance

Anticipated Outcomes

The enhanced platform is expected to improve support accessibility for cancer patients and caregivers, reduce information-seeking time by 40%, and increase user engagement metrics by 60% through personalized AI interactions, while maintaining the platform's mission of providing reliable, authenticated cancer resources.