VaxTrace AI

"Predicting the Next Dose to Ensure No Child is Left Behind"

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Inspiration

Most health apps only tell you about a problem after it happens. We saw that many children miss life-saving vaccines simply because their records are lost or they live too far away. We wanted to build something that doesn't just track the past, but predicts the future to make sure no child is forgotten.

What it does

VaxTrace AI is an all-in-one mobile assistant that acts as a brain for field health workers:

Snap & Save (AI Digitization):Using the phone’s camera, a worker snaps a photo of a paper vaccination card. Our AI instantly reads the handwriting and saves the data, removing the need for slow, manual typing.

Predictive Risk Scoring: The app doesn't just show a list of names; it calculates a "Risk Score." It looks at how far a family lives from the clinic and their past history to tell the worker: "This child is 80% likely to miss their next dose."

Smart Daily Routing: It takes those high-risk cases and plots them on a map, giving the worker the most efficient GPS path to visit those families first.

GuardianVoice Reminders: To help parents, the app sends automated voice notes in local languages. This ensures that even parents who cannot read or write receive a clear, friendly reminder about their child’s next appointment.

How we built it

We built the app using Flutter because it allows for a smooth, professional experience on both Android and iOS. For the "brains" of the app, we integrated Google ML Kit to handle the on-device text recognition (OCR) so it works even without a signal. All the data is stored in a local SQLite database first, ensuring that no data is lost in areas with zero internet. We also designed the interface with high-contrast colors and large buttons, making it usable even in bright, outdoor sunlight.

Challenges we ran into

One major hurdle was Image Quality. In rural clinics, lighting is often poor, and paper cards are frequently wrinkled. We had to spend a lot of time fine-tuning the AI to accurately read text under these "real-world" conditions. Another challenge was Battery & Data Management. Since field workers often use budget smartphones, we had to optimize our code to ensure the AI didn't drain the battery or require a high-speed data connection to function.

Accomplishments that we're proud of

We are incredibly proud of creating a Predictive Pipeline that actually works. Most hackathon projects are just "forms," but we built a tool that actually analyzes data to provide answers. We also take great pride in our Inclusive Design specifically the voice reminders which ensures that technology serves everyone, regardless of their literacy level or the quality of their internet connection.

What we learned

The biggest lesson we learned is that "Simple is Hard." It is easy to add a hundred features, but it is much harder to pick the three features that actually save lives. We learned that for a health worker in the field, speed and reliability are more important than fancy animations. We also gained a deep understanding of how AI can be used for social good when it is designed with empathy for the end user.

What's next for VaxTrace AI

Our vision is to move from tracking data to tracking vaccine quality. We plan to add features like

Spoilage Check: Using the camera to detect if a vaccine has gotten too warm and spoiled.

Secure Tracking: Adding a digital "receipt" for every dose to prevent fraud.

Real-world Testing: Getting the app into the hands of real NGOs to start saving lives.

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