← Back to cohort

Rabeah Zubair

FAST · 2021 · i17 - 0005

—

Phone

—

GitHub

—

Academic

Program

—

CGPA

—

Year

2021

Education

—

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

Python, TensorFlow, PyTorch, Flask, HTML, CSS, RASA

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.

MeetingScheduler
MeetingScheduler is a Chatbot based virtual assistant, embedded within a web application, that 
takes away the hassle of scheduling meetings from its users and manages the schedule on its own. 
The chatbot manages and updates its users’ calendars and informs users about upcoming meetings, 
as well as provides suggestions on which contacts to add in the meeting. The chatbot interface 
provides an ease of communication to the user so that the user just needs to tell the chatbot for 
meetings and the rest of the work will be taken care of.  
The main features of our application include: 
- Filtering and identifying meeting emails for the users 
- Automating the process of scheduling meetings with recipients 
- Updating user calendar 
- Notifying  user and displaying upcoming meetings 
- Allow cancellation and rescheduling of meetings 
- Provide suggestion for participants to involve in meetings 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Python, TensorFlow, PyTorch, Flask, HTML, CSS, RASA   
Supervisor Name: 
Ms. Amna Irum 
Group Members:   
Muhammad Ammar Masood (i17 - 0002) 
Rabeah Zubair (i17 - 0005) 
                                                                                                                                       Adeena Bilal (i17 - 0299)

AI enrichment

Rabeah Zubair is a student who contributed to a group project developing a Python-based chatbot for automated meeting scheduling. The project utilized technologies including TensorFlow, PyTorch, Flask, and RASA to manage calendar updates and user interactions.

Skills (AI)

["Python", "TensorFlow", "PyTorch", "Flask", "HTML", "CSS", "RASA", "Chatbot Development", "Natural Language Processing"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 220
Created: 1778144136