Renal Care: Personalized Alerting System for Renal Cancer Recurrence Prevention via IoT and ML
Objective
The objective is to develop an IoT- and ML-based system that monitors patient data, predicts renal cancer recurrence risks, and sends personalized alerts for timely intervention.
Abstract
Abstract:
This project proposes a Personalized Alerting System for Renal Cancer Recurrence Prevention by integrating Internet of Things (IoT) devices and Machine Learning (ML) techniques. The system utilizes a Raspberry Pi as the central processing unit, interfaced with various biomedical sensors including a heartbeat sensor, temperature sensor, and a USB web camera to monitor vital signs and behavior in real-time. A buzzer is incorporated for immediate alert notifications, while a reliable power supply ensures continuous operation. Patient data is processed using a kidney disease dataset, enabling the ML model to predict potential recurrence risks based on monitored parameters. By combining sensor data with predictive analytics, the system provides early warnings and personalized health insights, aiming to enhance post-treatment surveillance and reduce renal cancer recurrence through timely intervention.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware Requirements:
- Raspberry pi
- Memory card
- Heart beat sensor
- Temperature sensor
- Lcd
- Buzzer
- Usb web camera
- Power supply
Software Requirements:
- Raspbean os
- Python idle
Learning Outcomes
Understanding Raspberry pi pin diagram and architecture
Installing and configuring python IDE for Raspberry pi
Setting up Raspberry pi for multi-sensor
Basic coding with Raspberry pi for applications
Working with heart beat sensor
Interfacing LCD with Arduino for real-time display
Interfacing usb web camera with Raspberry pi
Interfacing heart sensor with Raspberry pi
Interfacing Temperature sensor with Raspberry pi
Interfacing buzzer with Raspberry pi
Understanding power supply requirements for wearable devices
About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware setup and debugging
- Development of the Project and Output testing
Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with a team/individually
- Working on creative ideas
Project development skills:
- Problem analysis
- Problem solving
- Creativity and imagination
- Programming skills (Python)
- Deployment
- Testing
- Debugging
- Project presentation
- Report writing
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
