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# TechnoHack | ||
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## ` THEME : ` | ||
``` | ||
Health Tech | ||
``` | ||
## ` PROBLEM STATEMENT : ` | ||
Chronic diseases such as diabetes, hypertension, and heart disease are major health problems worldwide. | ||
Early detection and diagnosis of chronic diseases can greatly improve the chances of successful treatment | ||
and management of these conditions.However, traditional diagnosis methods are often costly, time-consuming, | ||
and invasive, making them impractical for widespread screening of populations. | ||
Therefore, there exist a need for a predictive model that can accurately predict the risk of developing | ||
chronic diseases based on various risk factors such as age, gender and medical history. | ||
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<br /><br /> | ||
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## ` SOLUTION : ` | ||
H-oracle is a webapp that can predict how prone a person is to a chronic disease. This wil help in early | ||
detection and diagnosis of such diseases and improve the chances of a successful treatment. | ||
Chronic diseases include heart problems, diabetes, hypertension and so on. For each disease we intend to | ||
develop an ML model that can predict if a person is prone depending on data such as age, gender and certain | ||
medical parameters. Based on the prediction from this application the, user is given the knowledge of which | ||
specialist to consult. | ||
We aim to become an asistant to doctors and other medical staff | ||
Presently we have 2 models: | ||
1. Predicting | ||
<br /><br /> | ||
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## ` TECHSTACK USED : ` | ||
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Backend - Nodejs, Python | ||
Frontend - React, HTML, CSS, JS | ||
Database - MongoDB | ||
``` | ||
<br /> | ||
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## ` REFERENCES : ` | ||
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DATASETS | ||
-[Heart problems](https://www.kaggle.com/datasets/venkatkarthick/heartcsv) | ||
-[Diabetes](https://www.kaggle.com/datasets/alexteboul/diabetes-health-indicators-dataset) | ||
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<br /><br /> | ||
DOCS | ||
- [NodeJs](https://nodejs.org/en/docs) | ||
- [React](https://reactjs.org/docs/getting-started.html) | ||
- [Python](https://docs.python.org/3/) | ||
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