Maryam Malik
FAST
· 2024
·
20i-2488
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2024
Education
FAST NUCES
Address
Islamabad
DOB
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Career
Current role
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Target role
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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).
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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
Maryam Malik is a BSCS student at FAST NUCES who developed an IoT-based platform for real-time monitoring of water pumps using ESP32 and ThingSpeak. The project focuses on tracking parameters like flow rate and voltage to prevent failures and optimize energy consumption.
Skills (AI)
["IoT", "ESP32", "ThingSpeak", "HTTP", "SMTP", "Sensor Integration", "Cloud Monitoring"]
Status: ai_done
Provenance
Source file: FAST School of Electrical Engineering - Graduate Directory 2025.pdfFrom job #18 page 44
Created: 1778169257