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AlterMedica-Website

Description

The “ALTERMEDICA” has been developed to provide accurate and up-to-date information on alternative medicines and therapies.Main goal of “ALTERMEDICA” is to provide alternatives to traditional medicines. We understand that many people prefer to use natural remedies and holistic approaches to health and wellness. That's why we offer a range of alternative options to pharmaceuticals, such as homeopathy, alopathy,acupuncture, and more.Our goal is to empower individuals to make informed choices about their health and well-being. We believe that every person is unique, and there is no one-size-fits-all approach to healthcare. That's why we offer a variety of alternative options, so you can find what works best for you. The website could serve as a valuable resource for those who are seeking alternative treatments for various medicines, or who may be looking to supplement their existing medical treatments with other remedies. The application is reduced as much as possible to avoid errors while entering the data. It also provides error message while entering invalid data. No formal knowledge is needed for the user to use this system. Thus by this all it provides it is user-friendly.

Objective

Comprehensive information about various medications and their uses A search function that allows users to find alternative medications based on their specific needs and conditions A user-friendly interface that is easy to navigate and understand Access to contact developers advice and resources related to medication alternatives and related health topics.

How website look like!!

altermed

Output

output

Cosine Similarity:

Cosine similarity is a measure of similarity between two data points in a plane. Cosine similarity is used as a metric in different machine learning algorithms like the KNN for determining the distance between the neighbors, in recommendation systems, it is used to recommend movies with the same similarities and for textual data, it is used to find the similarity of texts in the document.

cosine

For Requirements use : pip install -r requirements.txt

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