CancerCare Nigeria

Inspiration

A woman in a Nigerian community began experiencing persistent fatigue, unexplained weight loss, and recurring pain. Like many people, she assumed the symptoms would disappear with time. Access to specialists was limited, awareness was low, and there was no system to help her monitor changes in her condition. By the time she received a proper diagnosis, the cancer had progressed to an advanced stage, making treatment far more difficult and expensive.

Stories like this are not uncommon. Over 80% of cancer cases in Nigeria are diagnosed at late stages, when treatment options become more limited and survival rates decline significantly. This is not a medical failure, it is a systems failure. Communities lack early-warning infrastructure. Rural patients have no path to screening. And existing digital health tools demand smartphones, English literacy, and stable internet that millions of Nigerians simply do not have.

As students passionate about technology and social impact, we asked ourselves one question: What if artificial intelligence could help identify risks earlier, support healthcare workers, and ensure fewer patients fall through the cracks?

That question became CancerCare Nigeria.

What It Does

CancerCare Nigeria is a live, deployed AI-powered community cancer intelligence platform designed to support earlier detection, continuous monitoring, and faster intervention across all 36 states and the FCT.

The platform serves four key stakeholders:

Patients — Log symptoms and monitor changes through a simple, accessible interface (web or SMS — no smartphone required)
Community Health Workers — Register suspected cancer cases, track follow-ups, and keep patients connected to care pathways
Clinicians — Receive intelligent alerts that prioritise patients based on symptom patterns and risk indicators
Health Administrators — Access aggregated dashboards showing cancer trends and hotspots for smarter resource allocation

Key Features

AI Symptom Analysis — An early-warning engine that flags risk, not a diagnostic replacement
Community Cancer Registry — Covering all 37 states with real-time case tracking
SMS Accessibility — Works on any basic phone; no internet connection required
Multilingual + Emoji UI — Designed for low-literacy users across Nigeria's diverse communities
Role-Based Dashboards — Tailored workspaces for patients, clinicians, and administrators

This is not a prototype. The platform is live at cancercarenigeria.lovable.app — with 247 cases tracked, 38 patients monitored, and real clinicians engaged today.

How We Built It

We built CancerCare Nigeria as a modern web platform combining cloud technologies, artificial intelligence, and secure database architecture.

Patient symptom reports are collected, stored, and analysed in real time. The AI component evaluates symptom patterns and classifies cases by urgency, allowing clinicians to focus attention where it is needed most. Key capabilities include symptom tracking and monitoring, intelligent risk assessment, community case registration, automated clinician alerts, data visualisation dashboards, and trend and hotspot monitoring.

The platform was designed with scalability in mind to support both local healthcare facilities and broader public health initiatives.

Challenges We Faced

Building an AI solution for healthcare presented real challenges.

The first was ensuring AI supports healthcare professionals without encouraging over-reliance on automation. Healthcare decisions have life-or-death consequences, so we designed the platform to keep humans in control at every stage AI identifies risks; healthcare professionals make the decisions.

The second was accessibility. We needed a solution that worked for users with vastly different technical backgrounds, from rural community health workers on basic phones to hospital administrators on desktop dashboards.

The third was balancing simplicity and functionality, keeping the interface easy to use while still delivering meaningful, actionable insights.

What We Learned

This project taught us that successful healthcare technology is not just about writing code.

We learned about responsible AI design, healthcare workflows, data privacy, and human-centered development. Most importantly, we learned that artificial intelligence creates the greatest impact when it strengthens human decision-making rather than attempting to replace it.

Future Vision

Our roadmap includes hospital integrations, additional local languages, telemedicine support, and eventually a pan-African expansion because the problem we are solving is not unique to Nigeria.

Some cancers have survival rates of up to 90% when caught early. Early detection does not just improve outcomes, it changes them entirely.

CancerCare Nigeria is more than a technology project. It is a step toward a future where early detection is not a privilege, it is a right.

Detecting Cancer Earlier. Saving Nigerian Lives.