← Back to cohort

Ali Hassan

FAST · 2024 · 20i-1915
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2024
Education
FAST NUCES
Address
Islamabad
DOB

Career

Current role
Target role
Skills
ESP32, ThingSpeak, HTTP, SMTP, IoT, Data Acquisition, Cloud Integration

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.
An loT Based Platform to Monitor a Water Pump 
This project aims to design and implement an loT-based platform for real-time monitoring of water pumps, 
ensuring efficient operation and preventing potential failures. Inefficient water pump management leads to 
excessive energy consumption, equipment damage, and operational disruptions. This system enables 
remote tracking of critical parameters such as flow rate, pressure, current, voltage, and vibration, allowing 
for timely intervention and improved system reliability. 
Water pumps play a vital role in industrial, agricultural, and domestic applications, and their continuous 
operation is crucial for maintaining water supply and energy efficiency. By integrating ESP32, ThingSpeak, 
and HTTP protocols, this project enables real-time data transmission to the cloud, where users can monitor 
performance and receive alerts when sensor readings exceed predefined thresholds. Additionally, SMTP-
based email notifications ensure immediate awareness of critical issues. 
By automating water pump monitoring and providing real-time insights, this project contributes to optimized 
energy consumption, reduced maintenance costs, and improved operational efficiency. 
An IoT-Based Platform to 
Monitor a Water Pump 
OBJECTIVE 
Ensuring efficient water pump operation through real-lime monitoring of key 
parameters such as flow rate. pressure. current. voltage, and vibration. The 
system aims to detect anomalies, optimize performance, and prevent failures 
using IoT-based remote monitoring. 
OVERVIEW 
The system continuously collects sensor data, transmits it to the cloud using 
HTTP. and visualizes it on ThingSpeak. Users receive email alerts via SMTP 
when predefined thresholds are exceeded, enabling timely maintenance 
actions. 
Block Diagram 
Features 
Work Flow 
-
Supervisor. Prof. Shahzad Saleem 
Group Members: 
ShizaJamil(20i·2312) 
Maryam Malik(20i·2488) 
AliHassan(20i·1915J 
-
Data 
Acquisition 
Data 
Dashboard 
Email 
Alert 
--
Transmission 
Display 
-· t8l 
Tools 
-
-
QThlngSpeak 
Technology Used: 
ESP32, ThingSpeak, HTTP, SMTP 
Supervisor Name: 
Dr. Shahzad Saleem 
Group Members: 
Ali Hassan (i20 - 1915) 
Shiza Jamil (i20 - 2312) 
Maryam Malik (i20 - 2488) 
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Ali Hassan is a Bachelor of Science in Computer Science student who developed an IoT-based platform for real-time water pump monitoring using ESP32 and ThingSpeak. The project involved implementing sensor data acquisition, cloud visualization, and SMTP-based alert systems to optimize energy consumption and prevent equipment failure.
Skills (AI)
["IoT", "ESP32", "ThingSpeak", "HTTP", "SMTP", "Sensor Integration", "Cloud Monitoring", "C/C++"]
Status: ai_done
Provenance
Source file: FAST School of Electrical Engineering - Graduate Directory 2025.pdf
From job #18 page 44
Created: 1778169257