← Back to cohort

Aqsa Rahman

FAST · 2023 · i191908
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Career

Current role
Target role
Skills
Python, ReactJS, Flutter, Spark, Kafka

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.
ApisGuardian
Real time monitoring system for honey bees
OVERVIEW
. Bees are one important part of our ecosystem but there is no automated framework for real time monitoring for the bee colonies.
. In our project we propose a system that represents real time overall health of hives in two main views i.e Administration and Farmer to view the temperature, humidity and sound from the hives.
ARCHITECTURE
TOOLS USED
TIMELINE
Sep - Oct
Design the IOT system
Gather data using the IOT system
Feb - May
Development of Mobile and Web Application.
Deploy the IOT device on honey bee hive & collect data in real-time
Nov- Jan
Design User Interface for Mobile and Web Application
May - June
Testing system in real-time (QA)
TEAM MEMBERS
Waleed Ahmed (i19-1898)
Aqsa Rahman (i19-1908)
Asad Ali (i19-1897)
SUPERVISOR
Dr Kifayat Ullah Khan
Technology Used:
Python , ReactJS, Flutter, Spark, kafka
Supervisor Name:
Dr Kifayat Ullah Khan
Group Members:
Aqsa Rahman (i191908)
Waleed Ahmed (i191898)
Asad Ali (i191897)

AI enrichment

Aqsa Rahman is a student who contributed to a university project developing a real-time IoT monitoring system for honey bee hives. The project involved designing the system architecture and developing mobile and web applications using ReactJS and Flutter.
Skills (AI)
["Python", "ReactJS", "Flutter", "Spark", "Kafka", "IoT System Design", "UI/UX Design", "Real-time Data Monitoring"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 438
Created: 1778169842