added personal email

README.md

@@ -10,13 +10,12 @@ Disclaimer: The backend elements have been forked over from https://github.com/M
 ## Table of Contents:
 1. [Overview](#Overview)
 2. [Background](#Background)
-3. [Additional Features](#features)
-4. [How it Works](#how-it-works)
-5. [How to Use](#using)
-6. [Contribute](#contribute)
-7. [Future Improvements](#future)
-8. [Support](#support)
-9. [License](#license)
+3. [How it Works](#how-it-works)
+4. [How to Use](#using)
+5. [Contribute](#contribute)
+6. [Future Improvements](#future)
+7. [Support](#support)
+8. [License](#license)
 
 ## Background: <a name="Background"></a>
 
@@ -32,18 +31,6 @@ Rebecca Wang (https://github.com/rebeccawang06)
 
 For the 8th HackUmass hackathon. 
 
-## Additional Features: <a name="features"></a>
-
-The main code was forked from https://github.com/MRauf1/Skin-Cancer-Detector-Android, a very basic skin cancer detector. We have used that basic detector as a canvas to create an all-in-one health application, complete with features such as:
-
-->References and Resources: Helps the user learn more about various Skin Diseases (at the time, focused on Skin Cancer)
-
-->A complete UI/UX overhaul: Helps the user navigate the App with ease
-
-->Emergency Contacting features: Helps the user get in contact with various individuals in order to get help whenever needed
-
--> Pictures and other sources to help people judge the severity of their ailment
-
 ## How it Works <a name="how-it-works"></a>
 
 DermSafe uses TensorFlow and Keras in order to compare the User's uploaded photos to it's own database, from which it gives feedback on the type of the skin disease that the user is currently suffering from. Currently, the model is trained on very high quality images of various different types of skin cancer, and can therefore give almost accurate feedback on the kind of skin cancer that the user may be suffering with.