Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Vansha

Vansha (वंश): Family Health Intelligence Platform for Preventive NCD Care

Inspiration

Healthcare systems are primarily designed around individual patients, yet many of the world's leading causes of death—such as diabetes, hypertension, cardiovascular disease, and chronic kidney disease—have strong familial and hereditary patterns.

During community health screening programs, family history is often collected on paper but is rarely transformed into actionable clinical insights. Health workers know that a patient's parents may have diabetes or hypertension, but they lack tools to identify which family members should be screened early or monitored more closely.

This inspired us to build Vansha (वंश)—a platform that treats the family as a connected health network instead of isolated individuals. Rather than waiting until disease develops, Vansha enables preventive healthcare by analyzing family relationships, health history, and risk factors to identify vulnerable individuals before symptoms appear.

What it does

Vansha is a Family Health Intelligence Platform that creates a digital family health graph for preventive care.

The platform allows health workers to:

Register families and household members
Build parent-child and spouse relationships
Record screening information and diagnosed diseases
Visualize complete family health history
Identify individuals with elevated hereditary risk
Prioritize preventive screening and follow-up

Instead of asking every patient the same questions repeatedly, the system provides clinicians with an instantly accessible family health profile.

For example:

If both parents have Type 2 Diabetes and one sibling is hypertensive, the system highlights children as high-risk individuals who should undergo earlier screening than the general population.

This shifts healthcare from reactive treatment toward proactive prevention.

How we built it

Backend

Node.js
Express.js
TypeScript
Prisma ORM
PostgreSQL

The backend manages:

Family registration
Relationship mapping
Patient records
Screening data
Risk calculations
REST APIs

Database Design

The database is structured around relational healthcare entities:

Families
Individuals
Relationships
Health Screenings
Diagnoses
Risk Assessments

Using Prisma allowed us to rapidly iterate on the schema while maintaining strong type safety.

Frontend

The frontend was built with:

Next.js
React
TypeScript
Tailwind CSS

The dashboard enables health workers to:

Search families
Register new members
View complete family trees
Explore hereditary disease patterns
Monitor screening status

The interface was intentionally designed to remain simple enough for use during community health outreach.

Risk Intelligence

Rather than relying solely on current symptoms, Vansha estimates hereditary risk using family health history.

Conceptually, an individual's hereditary risk can be represented as

[ Risk = f(FamilyHistory,\ Age,\ ExistingConditions,\ Lifestyle) ]

where family history contributes significantly to early identification of non-communicable diseases.

This enables healthcare workers to prioritize preventive interventions before disease progression.

Challenges we faced

Designing the Family Graph

Representing multi-generational family relationships was more difficult than expected.

We needed a flexible data model capable of representing:

Parents
Children
Siblings
Multiple generations
Spousal relationships

while keeping database queries efficient.

Converting Health History into Actionable Insights

Collecting family history is relatively straightforward.

The real challenge was transforming that information into meaningful recommendations that healthcare workers could immediately understand and use.

Balancing Complexity and MVP Scope

Many ideas emerged during development, including:

AI-based disease prediction
National health integration
Predictive analytics
Population dashboards

Given the limited hackathon timeframe, we focused on building a functional MVP that demonstrates the core concept rather than attempting to solve every healthcare problem at once.

What we learned

This project taught us that impactful healthcare innovation is not always about creating new medical technologies.

Sometimes the greatest value comes from organizing existing information in smarter ways.

Throughout the hackathon we gained practical experience with:

Healthcare data modeling
Relational database design
Full-stack application architecture
Building scalable REST APIs
Translating public health challenges into software solutions
Designing technology with real community impact

More importantly, we learned how interdisciplinary collaboration—combining software engineering with public health thinking—can create solutions that are both technically sound and socially meaningful.

Future Vision

Our long-term vision is to evolve Vansha into a nationwide preventive health intelligence platform integrated with community healthcare systems.

Future enhancements include:

AI-powered disease risk prediction
Integration with Electronic Health Records (EHR)
Community health worker mobile application
National family health analytics
Government health planning dashboards
Secure interoperability with healthcare providers

By shifting healthcare from treatment-first to prevention-first, Vansha aims to help reduce the growing burden of non-communicable diseases through early identification, family-centered care, and data-driven public health decisions.