Early Detection of Seasonal Diseases

• 

  A simple web tool predicts the risk of seasonal illnesses, like the flu, based on weather and chosen symptoms.

Inspiration
Outbreaks of seasonal illnesses often catch communities off guard, especially in areas where the climate shifts quickly and healthcare resources are limited. I wanted to create a simple tool that helps people notice early warning signs by connecting common health symptoms with environmental conditions. My aim was to make prevention more proactive and easy to access.

What it does
The app collects basic information like temperature, humidity, rainfall, and the month, along with common symptoms such as fever, cough, or fatigue. It applies rule-based logic to identify possible seasonal illnesses, like flu in colder months or dengue during rainy seasons. The results appear in a clear, color-coded format so users can quickly understand potential risks.

How I built it
I developed the project using HTML and CSS for a clean, responsive interface. JavaScript handled the logic to recognize seasonal disease patterns. To make it engaging, I included interactive symptom checkboxes, gradient backgrounds, and smooth animations. Overall, the prototype shows how environmental and health data can connect in a user-friendly way.

Challenges I ran into
I needed to create prediction rules that were both realistic and simple enough for a prototype. I also had to make sure the interface was user-friendly for people without technical backgrounds. Additionally, I had to manage tight hackathon time limits while balancing design and functionality.

Accomplishments that I'm proud of
I built a working demo that illustrates how to detect seasonal diseases early. I created a visually appealing and easy-to-use interface. I also successfully tied the project to the HealthTech & Wellbeing track of the hackathon.

What I learned
I learned that environmental conditions significantly influence the spread of seasonal illnesses. User-focused design is crucial in health apps. Even simple rule-based systems can provide valuable insights when applied thoughtfully. I also discovered that managing time effectively is essential for developing functional prototypes under pressure.

What's next for Early Detection of Seasonal Diseases
Next, I plan to improve accuracy by training on real health datasets. I will add location-based features for alerts specific to each region. I also want to create a mobile version to enhance accessibility. Additionally, I aim to partner with health organizations to validate and improve the tool. My goal is to expand coverage to include more diseases and provide preventive recommendations.

Built With

• css
• html
• javascript