Sunday, 31 August 2025

Top 20+ Machine Learning IEEE Project Titles 2025

 

Top 20+ Machine Learning IEEE Project Titles 2025

  1. Machine Learning in Learning Analytics Dashboards: A Systematic Literature Review
  2. Strip Steel Defect Detection Using Traditional and Deep Learning Models: A Comprehensive Investigation
  3. Snow Forecasting with Machine Learning for Precision Weather Prediction
  4. Air Quality Forecasting: Comparative Analysis Using Machine and Deep Learning
  5. ML and DL Approaches for ADHD Diagnosis: A Comprehensive Analysis
  6. Intrusion Detection on Android Devices Using Machine Learning Techniques
  7. Hybrid Machine Learning Algorithm for Credit Card Fraud Detection
  8. Machine Learning for Geological Mapping in Urban Remote Sensing
  9. Food Classification Using Transfer Learning and Hybrid ML Models
  10. Heart Disease Prediction Using Ant Colony Optimization and Machine Learning
  11. Comparative Study of ML Techniques for Cardiovascular Forecasting
  12. Predictive Crop Yield Modeling: A Review of Machine Learning Techniques
  13. Machine Learning for Sustainable Energy and Climate Change Prediction
  14. Diabetes Prediction Using Comparative Machine Learning Models
  15. Speech Disorder Classification Using Voice Signals and ML
  16. Machine Learning Techniques for Pediatric Pneumonia Treatment Enhancement
  17. Genetic Disorder Prediction Using Advanced Machine Learning Techniques
  18. Barcode Scanning with X-ray and Computer Vision Powered by ML
  19. Personalized Disease Prediction Using End-to-End ML Recommendation Systems
  20. Cloud Security Optimization: ML for Predicting and Preventing Vulnerabilities
  21. Fake Review Detection for Online Platforms Using Scalable Machine Learning
  22. Heart Disease Prediction Models Using ML and DL: A Survey
  23. Parkinson’s Disease Severity Evaluation Using Machine Learning Classifiers
  24. Scalable Neural Network Approach for Financial Fraud Detection
  25. Comparative Study of ML Algorithms for Credit Card Fraud Detection
  26. Dry Bean Classification with and without Hyperparameter Tuning in ML
  27. Fraud Detection Using KNC, SVC, and Decision Tree Algorithms
  28. YouTube Spam Detection: Comparing Deep Learning and Machine Learning
  29. Social Media Predictive Modeling Using Machine Learning
  30. Malicious URL Detection on Twitter Using Machine Learning
  31. Lung Disease Prediction: Comparative ML and DL Analysis
  32. ML-Based Performance Analysis of IT Professionals in Adaptive E-Learning
  33. Enhancements in Optical Metrology with Machine Learning Techniques
  34. Real-Time Student Engagement Monitoring with ML and Computer Vision
  35. Boosting Algorithms for Student Performance Prediction in E-Learning
  36. Mold Machining Error Analysis Using Machine Learning
  37. Liver Cirrhosis Prediction Using XGBoost and Voting-Based ML Techniques
  38. Arabic Email Spam Detection Using ML and DL: A Comparative Approach
  39. Resource Cost Optimization Using Machine Learning Techniques
  40. Digital Supply Chain Optimization Based on Machine Learning
  41. Banking Fraud Detection Using Machine Learning Algorithms
  42. Coverage-Driven Verification Optimization Using ML and PyUVM
  43. Cognitive Decline Risk Prediction Using ML and Blood Biomarkers
  44. Quantum Machine Learning: Bridging Quantum Computing and ML
  45. Human Activity Recognition for Elderly Using Wearable Sensor ML Models
  46. Dopamine Detection via Doped Carbon Quantum Dots and Machine Learning
  47. Hypertension Risk Stratification Using Logistic Regression and XGBoost
  48. Optimizing Power Consumption in Smart Buildings Using ML Algorithms
  49. Air Quality Prediction: Comparison of ML, DL, and Extreme Learning Machines

 

Saturday, 30 August 2025

Electric Waste Sorting Machine

 

Project Synopsis

Title: Electric Waste Sorting Machine


1. Introduction

With rapid urbanization, waste management has become a major environmental challenge. Manual segregation of waste is inefficient, labor-intensive, and exposes workers to health risks. Improper waste sorting leads to land pollution, reduced recycling efficiency, and harmful effects on the ecosystem.

An Electric Waste Sorting Machine automates the process of separating biodegradable, recyclable, and non-recyclable waste using sensors, motors, and control circuits. This system improves efficiency, reduces human effort, and supports sustainable recycling practices.


2. Problem Statement

  • Manual waste segregation is time-consuming, unsafe, and inefficient.

  • Mixing of recyclable and non-recyclable waste reduces recycling efficiency.

  • Lack of affordable automated waste sorting solutions for small-scale municipalities and households.


3. Objectives

  • To design and develop an automatic waste sorting machine.

  • To separate metallic, biodegradable, and non-biodegradable waste efficiently.

  • To reduce human involvement in unsafe waste handling.

  • To support recycling, composting, and eco-friendly waste management.


4. Methodology

  1. System Design

    • Waste input conveyor belt/tray.

    • Sensors for waste detection:

      • Metal Sensor → detects metallic waste.

      • Moisture Sensor → detects biodegradable waste.

      • Infrared/Proximity Sensor → detects non-biodegradable items.

    • Microcontroller-based control unit.

    • DC motors and actuators for waste separation.

  2. Fabrication – Integration of sensors, sorting bins, and conveyor system.

  3. Testing & Calibration – Test with different types of waste (plastic, paper, food, metals).

  4. Evaluation – Measure accuracy, sorting speed, and efficiency.


5. Block Diagram

Waste Input → Sensors (Metal, Moisture, IR) → Microcontroller → Motor/Actuator → Sorted Waste into Separate Bins


6. Expected Outcomes

  • A working prototype of an electric waste sorting machine.

  • Efficient separation of biodegradable, recyclable (metal/plastic), and non-recyclable waste.

  • Improved recycling process and reduced landfill waste.

  • Safer and more hygienic waste management system.


7. Applications

  • Household waste segregation.

  • Municipal solid waste management.

  • Schools, colleges, offices, and industries.

  • Recycling plants and eco-friendly housing societies.


8. Tools & Components Required

  • Microcontroller (Arduino / Raspberry Pi)

  • Metal Detector Sensor

  • Moisture Sensor

  • IR / Ultrasonic Sensor

  • Conveyor Belt & DC Motors

  • Motor Driver & Relay Module

  • Sorting Bins & Frame

  • Power Supply (Battery/AC Adapter)


9. Cost Estimation (Approx.)

  • Microcontroller & Sensors: ₹4,000

  • Conveyor Belt & Motor Assembly: ₹6,000

  • Sorting Mechanism & Bins: ₹3,000

  • Electronics & Power Supply: ₹3,000

  • Miscellaneous: ₹2,000
    Total Estimated Cost: ₹18,000 – ₹20,000


10. Conclusion

The Electric Waste Sorting Machine offers an innovative and eco-friendly approach to solid waste management. By automating the segregation process, it ensures higher recycling efficiency, reduced human risk, and better utilization of biodegradable waste for composting. This system can be scaled for household, community, and municipal-level applications, contributing significantly to clean and smart cities.

Automated Solar Panel Cleaning System

 

Project Synopsis

Title: Automated Solar Panel Cleaning System


1. Introduction

Solar panels are widely used as a renewable energy source, but their efficiency reduces by 20–30% due to dust, dirt, bird droppings, and environmental pollutants accumulating on the surface. Manual cleaning is time-consuming, labor-intensive, and not always feasible, especially for large solar farms.

An automated solar panel cleaning system provides a low-cost and efficient solution to maintain panel efficiency. This project proposes designing and fabricating an automated system that uses sensors, motors, and cleaning brushes/water spray to keep solar panels dust-free with minimal human intervention.


2. Problem Statement

  • Accumulation of dust and dirt reduces solar panel efficiency.

  • Manual cleaning requires labor, water, and time.

  • Lack of affordable automated cleaning systems for small-scale and medium-scale users.


3. Objectives

  • To design an automated cleaning system for solar panels.

  • To reduce dependency on manual labor and save time.

  • To ensure maximum solar energy generation by maintaining panel cleanliness.

  • To implement a cost-effective, water-saving, and eco-friendly design.


4. Methodology

  1. Literature Review – Study existing cleaning systems and limitations.

  2. System Design

    • Microcontroller-based control system.

    • DC motor-driven wiper/brush mechanism or water spray.

    • Sensor to detect dust accumulation or schedule-based cleaning.

    • Optional solar-powered battery for self-operation.

  3. Fabrication – Assemble frame, cleaning mechanism, sensors, and controller.

  4. Testing & Evaluation

    • Compare power output of cleaned vs. uncleaned panels.

    • Optimize cleaning cycle for efficiency and water usage.


5. Block Diagram

Solar Panel → Dust Sensor/Timer → Microcontroller → Motor/Brush Mechanism → Cleaned Panel → Improved Efficiency


6. Expected Outcomes

  • A functional automated cleaning system prototype for solar panels.

  • Reduction of efficiency loss due to dust by 20–30%.

  • Low-maintenance, user-friendly, and eco-friendly solution.

  • Scalable design suitable for both rooftop solar systems and large solar farms.


7. Applications

  • Rooftop solar power plants (homes, offices, industries).

  • Large-scale solar farms.

  • Remote areas where manual cleaning is difficult.

  • Commercial and institutional solar installations.


8. Tools & Components Required

  • Microcontroller (Arduino/Raspberry Pi)

  • DC Motors & Motor Driver Circuit

  • Wiper Brush / Roller Brush / Nozzle Spray System

  • Dust Sensors / IR Sensors / Timer Module

  • Water Tank & Pump (if water spray system used)

  • Rechargeable Battery (solar charged)

  • Supporting Frame & Mounting Mechanism


9. Cost Estimation (Approx.)

  • Microcontroller & Sensors: ₹3,500

  • Motor & Cleaning Mechanism: ₹4,000

  • Frame & Mounting: ₹2,500

  • Battery & Power Supply: ₹2,000

  • Miscellaneous: ₹1,500
    Total Estimated Cost: ₹12,000 – ₹15,000


10. Conclusion

The Automated Solar Panel Cleaning System will provide an innovative, cost-effective, and eco-friendly solution for maintaining solar panel efficiency. By reducing dust accumulation and ensuring maximum sunlight absorption, this system helps increase the overall power output and supports sustainable energy production.

Child Rescue System from Open Bore-Well

 

Project Synopsis

Title: Child Rescue System from Open Bore-Well


1. Introduction

In India and many developing countries, incidents of children falling into open bore-wells have become common due to improper sealing of drilled wells. Rescuing trapped children is a highly challenging task due to the narrow bore-well diameter, lack of oxygen, and limited accessibility. Conventional rescue methods often take several hours and require heavy machinery, which reduces the survival chances of the victim.

This project aims to design a robotic rescue system that can be lowered into the bore-well to monitor, provide oxygen, and safely lift the child out. The system will consist of a camera, sensors, oxygen supply, and a robotic arm to hold the child securely.


2. Problem Statement

  • Children accidentally falling into abandoned bore-wells face suffocation and injury.

  • Current rescue operations are time-consuming, complex, and often unsuccessful.

  • Lack of low-cost, portable, and efficient child rescue systems.


3. Objectives

  • To design and fabricate a robotic system for safe child rescue from bore-wells.

  • To provide real-time video monitoring for operators.

  • To ensure continuous oxygen supply to the trapped child.

  • To use a mechanical arm with harness for safe lifting.

  • To minimize the rescue time and increase survival chances.


4. Methodology

  1. Literature Review – Analyze past incidents and existing rescue methods.

  2. System Design

    • Rope-suspended robotic unit with guiding wheels.

    • Camera and lighting system for monitoring.

    • Oxygen pipe connected to supply unit.

    • Robotic arm with harness to hold child securely.

  3. Fabrication – Assemble frame, motors, robotic arm, and control unit.

  4. Testing – Conduct trials in controlled bore-well like structures.

  5. Evaluation – Check efficiency, stability, and safety of the system.


5. Block Diagram

Control Unit → Camera & Lights → Oxygen Supply → Robotic Arm → Harness Mechanism → Child Rescue


6. Expected Outcomes

  • A working prototype rescue robot capable of descending into bore-wells.

  • Real-time monitoring with video feedback.

  • Continuous oxygen supply to improve survival chances.

  • Safe and secure lifting of the child with minimal injury risk.


7. Applications

  • Rescue operations for children trapped in bore-wells.

  • Can be adapted for underground rescue missions in mines.

  • Disaster management and emergency response systems.


8. Tools & Components Required

  • Rope-suspended Frame with Motors

  • Wireless Camera & LED Lights

  • Oxygen Cylinder & Pipe

  • Robotic Arm with Gripper/Harness

  • Microcontroller (Arduino/Raspberry Pi)

  • Motor Drivers & Power Supply

  • Communication System (Wireless Remote/Control Panel)


9. Cost Estimation (Approx.)

  • Robotic Frame & Motors: ₹8,000

  • Camera & Lighting: ₹4,000

  • Oxygen Supply System: ₹6,000

  • Robotic Arm & Harness: ₹7,000

  • Electronics & Controls: ₹5,000

  • Miscellaneous: ₹3,000
    Total Estimated Cost: ₹30,000 – ₹35,000


10. Conclusion

The Child Rescue System from Open Bore-Well will serve as an innovative, life-saving technology. By integrating robotics, oxygen support, and real-time monitoring, the system aims to make rescue operations faster, safer, and more efficient. With further development, this project could be adopted by disaster management teams and emergency services to prevent tragic loss of innocent lives.

Pedal-Powered Water Pump for Rural Irrigation

 

Project Synopsis

Title: Design and Implementation of a Pedal-Powered Water Pump for Rural Irrigation


1. Introduction

In rural areas, farmers often face challenges in irrigating their fields due to lack of electricity, high fuel costs, and unavailability of modern pumping systems. A pedal-powered water pump is a cost-effective, eco-friendly, and sustainable solution that harnesses human power to lift water. This project aims to design and implement a pedal-powered pump system that can be operated like a bicycle, making it simple, affordable, and highly useful for small-scale irrigation.


2. Problem Statement

  • Lack of affordable irrigation systems in rural and remote areas.

  • Dependence on electricity or diesel-powered pumps, which are costly and unreliable.

  • Manual methods of water lifting are time-consuming and physically exhausting.


3. Objectives

  • To design a mechanical system that utilizes pedaling power for water pumping.

  • To develop an ergonomically efficient mechanism that minimizes operator fatigue.

  • To fabricate a working prototype suitable for small farms and household water needs.

  • To analyze and compare the efficiency of the pedal pump with traditional pumping methods.


4. Methodology

  1. Literature Review – Study existing pedal-powered devices and irrigation needs.

  2. System Design

    • Pedal setup connected to crank and chain drive.

    • Rotary motion transferred to a reciprocating/centrifugal pump.

    • Water outlet connected to irrigation pipes.

  3. Fabrication

    • Assemble bicycle frame, flywheel, sprocket-chain mechanism, and pump.

    • Ensure ergonomic seating and stable mounting.

  4. Testing

    • Measure water discharge rate, operator comfort, and endurance.

    • Compare with hand-operated pumps.


5. Block Diagram

Pedal System → Chain Drive → Pump Shaft → Pump Mechanism → Water Outlet → Irrigation Field


6. Expected Outcomes

  • A functional, user-friendly pedal-powered water pump prototype.

  • Water pumping capacity of 500–1200 liters/hour depending on design.

  • Low-cost, energy-efficient irrigation solution for small farmers.

  • Reduced dependency on fuel and electricity.


7. Applications

  • Small-scale irrigation in rural agriculture.

  • Water supply for domestic and livestock purposes.

  • Emergency water pumping in areas without electricity.

  • Sustainable and eco-friendly water management solution.


8. Tools & Components Required

  • Bicycle Frame & Pedal Assembly

  • Chain & Sprocket Mechanism

  • Flywheel (for smooth rotation)

  • Centrifugal / Reciprocating Pump

  • Water Pipes and Valves

  • Support Stand & Structural Materials


9. Cost Estimation (Approx.)

  • Bicycle Frame & Pedal Setup: ₹2,000

  • Pump Mechanism: ₹3,500

  • Chain, Sprocket & Flywheel: ₹1,500

  • Structural Frame & Pipes: ₹2,000

  • Miscellaneous: ₹1,000
    Total Estimated Cost: ₹10,000


10. Conclusion

The proposed pedal-powered water pump will provide a sustainable and low-cost irrigation solution for rural farmers. It reduces dependency on electricity and fossil fuels while promoting clean, green technology. This project can contribute towards rural development, energy conservation, and environmental sustainability.

Design and Fabrication of an Automatic Braking System Using Ultrasonic Sensors

 

Project Synopsis

Title: Design and Fabrication of an Automatic Braking System Using Ultrasonic Sensors


1. Introduction

Road accidents are one of the leading causes of fatalities worldwide, often due to delayed driver response time. An Automatic Braking System can significantly reduce such accidents by detecting obstacles ahead and applying brakes automatically without human intervention. This project focuses on designing and fabricating a low-cost braking system using ultrasonic sensors, a microcontroller, and a pneumatic braking mechanism.


2. Problem Statement

  • Increasing number of road accidents due to late braking response.

  • Conventional braking systems are fully manual, which may fail in emergencies.

  • Lack of affordable automatic braking technology for two-wheelers and low-cost vehicles.


3. Objectives

  • To design and develop an automatic braking system using ultrasonic sensors.

  • To integrate sensor data with a microcontroller for obstacle detection.

  • To activate a pneumatic braking mechanism automatically when obstacles are detected within a safe distance.

  • To test and evaluate the braking efficiency under different conditions.


4. Methodology

  1. Literature Review – Study existing automatic braking systems.

  2. System Design

    • Ultrasonic sensor to detect obstacle distance.

    • Microcontroller (e.g., Arduino) to process sensor data.

    • Pneumatic braking setup connected to wheel braking system.

  3. Fabrication – Assembling sensor, microcontroller, compressor, solenoid valve, and brake pads.

  4. Testing – Conduct trials with varying obstacle distances and vehicle speeds.

  5. Evaluation – Compare stopping distance with conventional braking.


5. Block Diagram

Ultrasonic Sensor → Microcontroller → Solenoid Valve → Pneumatic Cylinder → Brake System


6. Expected Outcomes

  • A functional prototype of an automatic braking system.

  • Reduced stopping distance and faster response time compared to manual braking.

  • Improved safety for two-wheeler and four-wheeler users.


7. Applications

  • Two-wheelers and four-wheelers for accident prevention.

  • Autonomous and semi-autonomous vehicles.

  • Heavy vehicles for enhanced safety in highways.


8. Tools & Components Required

  • Ultrasonic Sensor (HC-SR04)

  • Arduino Microcontroller

  • Solenoid Valve

  • Pneumatic Cylinder

  • Air Compressor

  • Brake Assembly (disc/drum brake model)

  • Power Supply & Connecting Wires


9. Cost Estimation (Approx.)

  • Sensors & Electronics: ₹2,500

  • Pneumatic System: ₹3,000

  • Brake Assembly & Mechanical Parts: ₹4,500

  • Fabrication & Miscellaneous: ₹2,000
    Total Estimated Cost: ₹12,000


10. Conclusion

This project will demonstrate a low-cost, effective automatic braking system using ultrasonic sensors. It can help reduce accidents caused by human error and pave the way for safer driving technology in developing nations.

Monday, 25 August 2025

C Programming MCQs & Practice Paper – 2026

 

C Programming MCQs & Practice Paper – 2026

Prepare for your upcoming C Programming exams with this expected question paper. Includes multiple-choice questions, short answer questions, and programming exercises with answer hints.


Section A – Multiple Choice Questions (1 mark each, 10 marks)

  1. Which of the following is the correct syntax to declare a pointer in C?
    a) int ptr; ✅
    b) int ptr
    ;
    c) int ptr;
    d) ptr
    int;

  2. Output of:

int x = 5; printf("%d", x++);

a) 5 ✅
b) 6
c) 0
d) Compiler Error

  1. Function used for dynamic memory allocation:
    a) malloc() ✅
    b) alloc()
    c) memalloc()
    d) callocall()

  2. Operator with highest precedence:
    a) * ✅
    b) +
    c) =
    d) &&

  3. Size of float in most compilers:
    a) 2 bytes
    b) 4 bytes ✅
    c) 8 bytes
    d) 1 byte

  4. Keyword to stop a loop:
    a) exit
    b) stop
    c) break ✅
    d) continue

  5. Default cases in switch statement:
    a) 0 or 1 ✅
    b) Multiple
    c) Always 1
    d) None

  6. Invalid storage class in C:
    a) auto
    b) register
    c) dynamic ✅
    d) extern

  7. Output of:

char str[] = "C Programming"; printf("%c", str[2]);

a) C
b) P
c) (space) ✅
d) o

  1. Correct way to pass an array to a function:
    a) void func(int arr[])
    b) void func(int *arr)
    c) Both a & b ✅
    d) void func(int arr)


Section B – Short Answer Questions (Hints)

  1. Difference between ++i and i++ → Pre-increment vs post-increment.

  2. Pointer → Stores address of a variable; used for dynamic memory, arrays, and functions.

  3. malloc() vs calloc() → malloc: uninitialized memory, calloc: initialized to zero.

  4. For loop syntax → for(initialization; condition; increment){}

  5. Break vs Continue → Break exits loop, Continue skips current iteration.

  6. Advantages of functions → Modularity, reusability, easy debugging.

  7. Struct → Collection of different data types. Example: struct student {int id; char name[20];};

  8. #include <file> vs #include "file" → <> searches system directories, "" searches current directory first.

  9. Recursion → Function calling itself. Example: factorial calculation.

  10. sizeof → Returns memory size of variable or data type.


Section C – Programming / Coding Practice (Hints)

  1. Largest of three numbers → Use if-else ladder.

  2. Factorial using recursion → Function calling itself until n=1.

  3. Reverse a string → Loop from end to start, print characters.

  4. Check prime → Loop from 2 to n/2, check divisibility.

  5. Sum of array elements → Loop through array and add values.

  6. Linear search → Loop array to find element.

  7. Swap numbers using pointers → Use temporary variable and * operator.


Section D – Advanced / Application-Based Practice (Hints)

  1. Calculator using switch → Use switch-case for +, -, *, /.

  2. Count vowels & consonants → Loop through string, use if-else.

  3. Matrix multiplication → Nested loops multiplying rows & columns.

  4. Stack implementation using array → Push: add element; Pop: remove last element.

  5. Sum of digits using recursion → Return last digit + recursive call on remaining digits.

  6. Merge two sorted arrays → Compare elements and store in new array.


Instructions:

  • Practice all sections carefully.

  • Write well-commented code for programming exercises.

  • Understand MCQs and short answer hints for quick revision.


For more programming practice and engineering project ideas, visit:
IT Educations – Engineering Projects

Electrical & Software Engineering Project Ideas 2025

 

Electrical & Software Engineering Project Ideas

Explore innovative and research-driven projects, teaching strategies, and learning solutions for Electrical Engineering and Software Engineering students. These ideas cover AI integration, gamification, lab simulations, microgrid optimization, EV strategies, and more.


Software & Electrical Engineering Education Projects

  1. Software Engineering Education for Technical Engineering Degrees and Its Specific Needs
    Tailored software engineering curricula for technical engineering students.

  2. Overcoming the Duality and Rivalry of Teaching: Integrative Electrical Engineering Degree Program with Vocational Training
    Combine vocational training with EE programs to create future-ready graduates.

  3. Integrating Probabilistic Power Flow into Electrical Engineering Education
    Embedding probabilistic power flow methods to prepare students for complex real-world systems.

  4. Integration of Financial Education and Project Management for EE Students
    Enhance practical knowledge with financial literacy and project management skills.

  5. Gamification of Signals & Systems Course in EE
    Apply game mechanics to boost mid-term engagement and learning outcomes.

  6. Assessment of Support Material on Electric Field Characteristics
    Investigate how teaching support materials affect student understanding of electric fields.

  7. AI for Teaching Electrical Engineering Subjects
    Use AI tools to improve learning efficiency and concept comprehension.

  8. Implementation of Multimodal Laboratory Courses for Basic EE
    Combine visual, auditory, and hands-on learning in lab courses.

  9. Rapid Drawing of Bridge Channel for Electrical Specialty Using 3DE Platform
    Integrate 3DE tools for accurate electrical visualization.

  10. Leveraging AI Chatbots to Enhance Understanding of Electric Circuits
    AI-driven chatbots provide instant help for circuit concepts.

  11. Abnormal Temperature Rise Early Warning for EV Motors Using ARIMA Model
    Predict temperature anomalies in EV motors with ARIMA modeling.

  12. IEEE Draft Recommended Practice for Shipboard Electrical Installations
    Guidelines for designing shipboard electrical systems.

  13. Gamification of EE Education with VR Simulation
    Virtual reality simulations increase student motivation and engagement.

  14. Problem-Solving Analysis of Power Engineering Design Problems
    Develop frameworks to solve complex power engineering challenges.

  15. Solving Math Problems Using Computer Algebra Systems in EE
    Integrate CAS tools to enhance understanding of EE equations.

  16. Temperature and Electric Field Profiles of Tri-Post Insulator in DC GIL
    Study electric and thermal stress interactions in high-voltage insulators.

  17. Introducing Entropy as a Fundamental Property of Electric Conductors
    Explore entropy in electrical conductor design and theory.

  18. Simulation and Reliability Optimization of IGBT Modules
    Multi-physics simulation to optimize performance under stress.

  19. Optimization of Microgrid Scheduling with EVs
    Improve efficiency using EV scheduling and hiking optimization algorithms.

  20. Feature Engineering for Low-Power Electrical Impedance Tomography
    Apply feature engineering for accurate hand sign recognition.

  21. Development of Modular Integrated Electronic Kit for First-Year Engineering Students
    Hands-on kits for electronics and circuit design introduction.

  22. Research on Electric Field-Temperature Coupling in Insulating Oil-Paper Materials
    Study insulation performance under combined stresses.

  23. Optimal Charging Guidance Strategy for Electric Vehicles
    Create EV charging strategies focusing on user satisfaction.

  24. IEEE Draft Guide for Condition Evaluation of EVSE
    Guidelines for evaluating and maintaining EVSE systems.


For More Electrical & Software Engineering Project Ideas

Looking for more innovative projects? Visit the full list of Electrical & Software Engineering project ideas here:
IT Educations – All Engineering Projects

IoT Project Ideas 2025 for Engineering Students


Latest IoT Project Ideas for Engineering Students

Discover innovative IoT project ideas for BTech, MTech, MCA, and engineering students. Explore smart home, automation, industrial, and real-time IoT projects. 


1.      Blockchain-based Optimization Algorithm for Secure IoT Communication Using AMQP

2.      Power Consumption Trade-Offs in Secure and Reliable NB-IoT Communication: A Comparative Study of Protocol Configurations

3.      Enhancing Connectivity with Leaf-Based Ground Planes for IoT Devices Embedding Antenna Boosters

4.      Enhancing the Efficiency of IoT Devices by Ground Plane Shaping with Antenna Boosters

5.      Towards Digital Agriculture: IoT Connectivity through a Multilayer NTN

6.      Towards a Portable Implementation of a Visual Block Language for IoT Applications

7.      AI-Optimized 6G-IoT Sidelink for Navigation and Platooning of Agricultural Machinery and Collaborative Robots

8.      Closeness Centrality-Based Scheduling for IoT Transmissions in LEO Satellite Networks

9.      PERCI: Smart Contract Verification Process for IoT Applications

10.  Optimizing Spectrum and Energy Efficiency in a WiFi-Based Industrial IoT Network

11.  Application of Fuzzy Logic in IoT to Optimize Hall-Effect Sensor Accuracy

12.  Regulatory Sandbox Environment for NB-IoT Services over NTN

13.  IoT Device for Industrial Automation Applied to Bulk LPG Installations in Brazil

14.  Performance Evaluation of Shared-Channel Wi-Fi Sensing and Communication in IoT Networks

15.  Development of a Sensor to Evaluate Seeder Performance: An IoT Application

16.  Evaluating IoT Sensor Data Reliability and Fluctuation in Cloud Integrated Systems

17.  Cellular IoT Network Selection Algorithm for Smart Grid Last Mile Communications

18.  A RISC-V Approach to Energy-Efficient Cryptographic Processing in IoT Application

19.  The Impact of Quantum Technologies in the IoT Sector

20.  IoTWall: An Efficient Host-Based Firewall for Resource-Constrained IoT Devices

21.  Cyber Security Risk Analysis of IoT Ecosystem

22.  A Comprehensive Analysis of IoT and IoT Security Attacks: Understanding the Threat Landscape

23.  Quantum Cryptography in Secure IoT Communications

24.  Preventing Data Integrity Breaches in IoT Applications Using Digital Twins

25.  The Integration of Edge Computing into IoT Application Using AdvantEDGE Platform, Case Study: Mobility


Explore More IoT Project Ideas:
Looking for innovative IoT projects for BTech, MTech, MCA, or other engineering courses?
Check out the full list here: IT Educations – IoT Project Ideas

 


Machine Learning & AI Engineering Project Ideas 2025

 

Machine Learning Engineering Project  50+ Titles 

Discover innovative ML and AI projects for BTech, MTech, MCA, BCA, and more.

Finance & Business

  1. Machine Learning-Based Stock Price Prediction Using Python

  2. AI-Powered Customer Churn Prediction System

  3. Predicting Loan Approval Using Machine Learning

  4. Machine Learning Model for Credit Card Fraud Detection

  5. Sales Forecasting Using Machine Learning Algorithms

  6. Machine Learning-Based Investment Portfolio Optimization

  7. Predicting Small Business Revenue Using AI

  8. Machine Learning for Risk Assessment in Banking

  9. AI-Powered Market Trend Prediction System

  10. Real-Time Cryptocurrency Price Prediction Using Python

Healthcare & Medical

  1. Machine Learning Model for Heart Disease Prediction

  2. AI-Based Diabetes Prediction Using Python

  3. Cancer Detection Using Machine Learning Algorithms

  4. Predicting Patient Readmission with AI

  5. Machine Learning for COVID-19 Infection Prediction

  6. AI-Powered Medical Image Classification

  7. Predicting Stroke Risk Using Machine Learning

  8. Machine Learning Model for Liver Disease Detection

  9. AI-Based Mental Health Analysis Using Social Media Data

  10. Predicting Blood Pressure Trends Using Machine Learning

  11. A Predictive Analytics in Cardiology: Evaluating Machine Learning Algorithms

  12. Encephalic Stroke Prediction Using Machine Learning Algorithm

  13. Lung Cancer Prediction Using Machine Learning

  14. Machine Learning Approaches for Predicting Lung Cancer Risk and Early Diagnosis

  15. Enhanced Classification of Migraine Headaches Using Machine Learning, Deep Learning, and Bayesian Networks

  16. Automating Brain Hemorrhage Detection through Deep Learning Approaches

  17. Medical Prescription Analysis Using Machine Learning

  18. A Performance Analysis of Supervised Machine Learning Models for Thyroid Disease Detection

  19. Machine Learning in Healthcare: A Review of Current Applications and Future Trends

  20. Machine Learning Solutions for Stunting Classification in Karya Jaya: A Case Study Using KNN and SVM

Education & Learning

  1. Student Performance Prediction Using Machine Learning

  2. AI-Based Exam Score Prediction System

  3. Predicting Course Completion Rate Using Machine Learning

  4. Machine Learning Model for Learning Style Classification

  5. AI-Powered Skill Gap Analysis in Students

  6. Predicting Student Dropout Risk Using Machine Learning

  7. Gamification with Personalized Learning Using Machine Learning Techniques

Social Media & Text Analysis

  1. Sentiment Analysis of Social Media Posts Using Python

  2. Fake News Detection Using Machine Learning

  3. AI-Powered Text Classification System

  4. Machine Learning for Topic Modeling in News Articles

  5. Predicting Social Media Trends Using Machine Learning

  6. Chatbot Development Using AI and Machine Learning

  7. Sentiment Analysis in the Age of AI: A Comparative Study of Machine Learning and Deep Learning Methods

  8. YouTube Spam Comment Detection Using Transfer Learning and Machine Learning Algorithms

E-Commerce & Retail

  1. Machine Learning-Based Product Recommendation System

  2. AI-Powered Customer Purchase Prediction

  3. Inventory Demand Forecasting Using Machine Learning

  4. Predicting Customer Lifetime Value Using AI

  5. Machine Learning Model for Price Optimization in Retail

  6. AI-Based Online Shopping Behavior Analysis

Industrial & Automation

  1. Predictive Maintenance Using Machine Learning

  2. Machine Learning-Based Energy Consumption Forecasting

  3. AI-Powered Quality Control in Manufacturing

  4. Industrial Equipment Failure Prediction Using Python

  5. Machine Learning Model for Smart Factory Automation

  6. Cluster Head Selection Algorithm Using Machine Learning

  7. Enhanced Fishermen Safety and Communication Using Machine Learning in Electromagnetic Water Networks

Transportation & IoT

  1. Real-Time Traffic Prediction Using Machine Learning

  2. AI-Powered Vehicle Accident Prediction System

  3. Machine Learning for Fleet Management Optimization

  4. Predicting Public Transport Usage Using AI

  5. Smart Parking System Using Machine Learning

AI, ML, & Research Innovations

  1. Improving Software Defects Detection: Machine Learning Methods and Static Analysis Tools

  2. IEEE Guide for an Architectural Framework for Blockchain-Based Federated Machine Learning

  3. CiteSpace-Based Visualization and Analysis of Support Vector Machines in AI and Machine Learning

  4. A Review on Applications of Machine Learning and Deep Learning Algorithms for Image Recognition

  5. A Model for Leishmaniasis Disease Classification Using Machine Learning and Deep Learning

  6. Dynamic Algorithmic Configuration for Enhanced Malware Detection

  7. Classification Error Bound for Low Bayes Error Conditions in Machine Learning

  8. From 5G to 6G: Role of AI, Machine Learning, and Deep Learning in Wireless Systems

  9. Prediction Model for Minimum Miscibility Pressure in CO2-Oil Using Automated Machine Learning

  10. Adversarial Machine Learning Attacks Against Network Intrusion Detection Systems

Environment & Miscellaneous

  1. Machine Learning-Based Weather Forecasting System

  2. AI-Powered Fraud Detection in Online Transactions

  3. Predicting Sports Match Outcomes Using Machine Learning

  4. Machine Learning Model for Energy Efficiency Optimization

  5. AI-Based Movie Recommendation System

  6. Predicting Housing Prices Using Machine Learning

  7. Machine Learning-Powered Crop Yield Prediction

Explore More ML & AI Project Ideas:
Looking for more innovative Machine Learning and AI project ideas for BTech, MTech, MCA, or other engineering courses?
Check out the full list here: IT Educations – ML & AI Project Ideas