Members: Yasharth Tripathi, Srishti Lodha, Aarushi Shrestha and Kartik Khanna
Womanhood is an initiative through which we want to build an all-in-one women health platform, which diagnoses women specific health issues and help raise awareness for its treatment and management. With a lot of fear of the stigma associated with reproductive health services, women often avoid making use of such services. This stigma imposes a great deal of mental stress, fear, and depression on patients and causes delays in the diagnosis and treatment of their conditions. Through Womanhood, we aim at solving this barrier for women to connect with doctor and try to reduce the errors and hassle in the diagnosis of the ailments.
- Breast Cancer Detection tool : Detects the presence of Metastatic Tissue and Invasive Ductal Carcinoma using two AI Models
- Convey general information about diseases that women are prone to and importance of women healthcare
- Run a general diagnosis for the user based on the symptoms she enters (Using general forest classification)
- Predict PCOS using AI in a person on the basis of their lifestyle and history.
- Dedicated Dashboard for Patient and Doctor
- Tracking of previous Prescription & Medical History
- Menstrual Cycle Tracker
- Booking Lab/Appointment
- Video Conferencing for expert consultancy
-
Machine Learning
- Python - Sklearn, Keras, Tensorflow etc. for the ML Model(s)
- Django REST Framework (for Model Endpoints)
- Scikit-learn
-
Frontend
- HTML
- CSS
- Bootstrap
-
Backend
- PHP
- MySQL (Database)
- Django
-
Tools
- Xampp
- Git
- Github
- Download and Install Xampp using link :- https://www.apachefriends.org/download.html
- Download the Zip or clone the repository using command : -
git clone https://github.com/kartik0406/Womanhood.git
- Go to the directory where Xampp is installed. For eg. C:\xampp\htdocs
- Copy the project folder and paste it in the address mentioned above.
- Open PhpMyAdmin, create a database named 'Womanhood' and import the womanhood.sql file from the db folder present in the repo.
- Launch any browser window and search localhost/Womanhood.
We have developed an all-in-one women health platform, which leverages AI to detect and diagnose women specific health issues and thereby help raise awareness for its treatment and management.
Fear of the stigma associated with reproductive health services has always been one of the reasons why youth and unmarried individuals avoid making use of such services. This stigma imposes a great deal of mental stress, fear, and depression on patients and causes delays in the diagnosis and treatment of their conditions. A research highlights that there is an urgent need to encourage more public awareness around women's health matters to assure women that they will be taken seriously, and that they should never feel ashamed about their health concerns whether that be their periods, reproductive health, menopause or something else.
Through this web portal, we together aim at solving this barrier for women to connect with doctor and try to reduce the errors and hassle in the diagnosis of the ailments.
if (you Liked our Project) {
starThisRepository();
}