Nutridot

Inspiration

One of our main inspirations came from seeing our loved ones — especially older adults like our grandparents — struggling to manage diabetes due to the difficulty of understanding nutritional labels. Labels are often unclear, small, or overly complex, making it hard for those who need accurate nutritional information the most to make the right choices. NutriDot was born out of a desire to support them and others on their health journey by making food information more accessible and meaningful.

What it does

NutriDot is a smart platform that offers instant food product scanning and displays customized nutritional data — with a focus on people living with diabetes. After scanning, users can view key nutrient values like sugars, protein, saturated fat, sodium, calories, and carbohydrates in simple color-coded bars. The platform also includes a dynamic dashboard that tracks daily, weekly, and monthly trends. Supported by artificial intelligence, NutriDot provides personalized feedback and helps users stay aligned with realistic, health-focused goals.

How we built it

We used full-stack development to bring NutriDot to life. The main technologies include HTML, CSS, JavaScript, Python, and JSON. JSON was especially useful for structuring and exchanging nutritional data efficiently. Our team worked in VS Code, managed our codebase through GitHub, and incorporated tools like Blot Bot to support our workflow and productivity.

Challenges we ran into

One key challenge was designing a system that simplifies complex nutritional information without losing accuracy. We needed to make it visually readable, especially for older users who often find standard labels difficult to interpret. Balancing color-coded health indicators (e.g., high sugar in red, high protein in green) required careful thought and logic. Additionally, ensuring that the AI recommendations were both helpful and safe was a technical and ethical consideration we had to address.

Accomplishments that we're proud of

We’re proud to have built a working platform that’s already been tested with real use cases — starting with our own families. Seeing our diabetic family members benefit from clear, personalized food data was a powerful moment for us. We also take pride in integrating AI smoothly into the dashboard and user experience.

What we learned

We learned the importance of building with empathy — keeping the end-user in mind at every step. We deepened our understanding of full-stack development, AI integration, and UI/UX accessibility for older adults. We also gained experience in team collaboration, problem-solving under time pressure, and user-centered design.

What's next for Nutridot

This is just the beginning. Our vision is to make NutriDot the go-to platform for anyone looking to better understand their food — especially those with chronic conditions like diabetes. We plan to add more AI-driven recommendations, integrate meal planning, and allow for syncing with wearable health devices. With the support of this hackathon, we’re excited to take NutriDot to the next level and turn it into a tool that can truly change lives. Our goal is simple yet powerful: to help even one person live a healthier, more informed life.

Built With

• blotbot
• css
• html
• javascript
• json
• python