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North South University

Department of Electrical & Computer Engineering

Course Repository

SUMMER 2021

Course Name: Senior Design

Course No: CSE 499

Faculty: Dr. Shahnewaz Siddique (SnS1)

Member 1:

Name: MD. Shofiul Islam

Member 2:

Name: Anika Tahsin Meem

Member 3:

Name: Jainab Sultana

Email: [email protected]

Git Repository: https://github.com/Shofiul735/smartMedicalUsingDeepLearning

Date Prepared: June 18, 2021

 

 


Work Distribution:

Tools and Languages:

  • Django
  • Sqlite3
  • Tensorflow
  • Scikit-learn
  • Python
  • Javascript
  • HTML and HTML5
  • CSS and CSS3

Description:

HealthMate is categorized as a web-based application. The application is built for caring for patients and predicting some fatal diseases. The application will play an important role between doctors and patients. Patients are able to meet doctors through video chat and doctors can give prescriptions to the user through online. The healthcare system will support people with less amount of time. The application will be an efficient system to detect disease and support the patient with the doctor. Since it is an artificial intelligence-based system, it is more efficient than a medical specialist. Machine learning and deep learning algorithm are used for model training and testing. We get encouraging results. Then, the system is built using the model. This system will become reliable and acceptable through its service and performance measures. In medical service, it will contribute besides the medical specialist to diagnose and detect simple to large diseases. The AI-Healthcare system has been employed as an effective health care strategy in both emergency and routine care to reduce the risk of infection. The system will be used for patient care and some fatal disease prediction and diagnosis through image processing. Patients can get an appointment with a doctor online and do video chat with the doctor.


Project Details


Home page

Homepage Banner:

Disease Information: 2

3

4

5

6

About Us Page:

7 about_us

Contact Us page:

8 contact_us

Login Page (Doctor):

9 log_in_doc

Login Page (Patient):

9 login_p

Signup Page(Doctor):

10 login_doc

Signup Page(Patient):

10 login_p

Doctor Dashboard:

11 doct_dash

Patient Dashboard:

13 patient_dash

Make an appointment page:

12 make_appiontment

Disease Prediction Page:

Screenshot from 2022-03-02 11-24-16 Screenshot from 2022-03-02 11-24-22 Screenshot from 2022-03-02 11-24-25

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