← Back to cohort

Ali Rauf

FAST · 2021 · i16 - 0048
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2021
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, TensorFlow, Keras, Java, Android Studio

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
SentiSense 

SentiSense is an Android application for mental health professionals. It will use our trained Machin 
Learning model to predict the emotion and intensity of a patient - based on their social media 
activity. 
There are two views of this application – Doctor View and Patient View – the former is for the 
doctors to use during/after the appointment to check patient’s emotion and much more. Whereas, 
the latter is for patients to check appointment information and chat with the doctor if required.  
Features include: 
 Check patients emotional status (and intensity) 
 Add patient/appointment to database 
 Edit patient/appointment related information 
 Chat functionality 





































































Technology Used: 
Python, TensorFlow, Keras, Java, Android Studio 
Supervisor Name: 
Dr. Ejaz Ahmed 
Group Members:   
Ali Rauf (i16 - 0048) 
Muhammad Noffel Khan (i16 - 0273) 
Talha Saleem (i16 - 0502)
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 218
Created: 1778226103