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BE Projects with Source code

BE Projects with Source code

Aislyn Technologies Pvt Ltd September 24, 2026
BE Projects with Source Code – 25 Final Year Engineering Projects

BE projects with source code can help engineering students understand how project concepts are converted into working software, hardware, and technology solutions. A complete academic project may include source code, database design, frontend and backend development, APIs, hardware integration, Machine Learning models, testing, documentation, and project demonstration.

Students from Computer Science Engineering, Information Technology, Artificial Intelligence and Data Science, Electronics and Communication Engineering, Electrical and Electronics Engineering, Mechanical Engineering, and other engineering branches can choose projects according to their academic requirements and technical interests.

The following 25 BE projects with source code cover Artificial Intelligence, Machine Learning, IoT, Embedded Systems, Robotics, Data Science, Web Development, Cybersecurity, Cloud Computing, Blockchain, and automation.

AI-Based Smart Attendance Management System

Develop an attendance application using facial recognition to identify registered students and record attendance. The source code can include face detection, recognition, database integration, attendance reports, and an administrator dashboard.

Technologies: Python, OpenCV, TensorFlow, Flask, MySQL.

Machine Learning-Based Employee Performance Prediction

This project analyzes employee-related datasets and uses Machine Learning algorithms to predict predefined performance categories.

Technologies: Python, Pandas, Scikit-learn, Machine Learning, Flask.

IoT-Based Smart Agriculture Automation

The system monitors soil moisture, temperature, humidity, and other environmental parameters and can control irrigation based on predefined conditions.

Technologies: ESP32, Arduino, sensors, IoT, relay module, MySQL.

AI-Based Road Pothole Detection

A Computer Vision model analyzes road images or video and detects predefined pothole or road-damage categories.

Technologies: Python, OpenCV, YOLO, TensorFlow, Deep Learning.

Machine Learning-Based Crop Disease Risk Analysis

This project analyzes agricultural parameters and historical datasets to build a Machine Learning model for predefined crop-disease risk categories.

Technologies: Python, Pandas, Scikit-learn, Machine Learning, Flask.

IoT-Based Industrial Temperature and Vibration Monitoring

Sensors collect machine temperature and vibration readings and transmit the data to a centralized monitoring dashboard.

Technologies: ESP32, vibration sensor, temperature sensor, IoT, Flask, MySQL.

AI-Based Gesture Recognition System

A Computer Vision application recognizes predefined hand gestures and converts them into selected commands or text output.

Technologies: Python, OpenCV, MediaPipe, TensorFlow.

Machine Learning-Based Movie Recommendation System

The application analyzes movie datasets and user preferences to generate recommendations using content-based or collaborative recommendation techniques.

Technologies: Python, Pandas, Scikit-learn, Machine Learning, Flask.

IoT-Based Smart Parking Management System

Sensors detect available parking spaces and transmit occupancy information to a web or mobile dashboard.

Technologies: ESP32, ultrasonic sensors, IoT, React, MySQL.

AI-Based Handwritten Digit Recognition System

A Deep Learning model recognizes handwritten digits from images using image preprocessing and neural-network classification.

Technologies: Python, TensorFlow, Keras, CNN, OpenCV.

RFID-Based Smart Library Management System

RFID tags identify books and automate library functions such as issue, return, inventory management, and member tracking.

Technologies: RFID, Arduino, ESP32, PHP or Flask, MySQL.

IoT-Based Smart Water Tank Management

The system monitors water levels and provides real-time information through a web dashboard. Alerts can be generated when water reaches configured levels.

Technologies: ESP32, ultrasonic sensor, IoT, Flask, MySQL.

AI-Based College Information Chatbot

An AI chatbot answers predefined questions about college courses, departments, admissions, examinations, facilities, and academic information.

Technologies: Python, NLP, Flask, Machine Learning, MySQL.

Computer Vision-Based Vehicle Counting System

A video-processing application detects and counts vehicles using object detection and tracking techniques.

Technologies: Python, OpenCV, YOLO, Deep Learning.

Cloud-Based Online Examination System

A complete online examination platform can provide student registration, question management, timed examinations, automatic evaluation, results, and administrator functions.

Technologies: React, Spring Boot, MySQL, REST API, Cloud Computing.

AI-Based Customer Sentiment Analysis

Natural Language Processing analyzes customer reviews and classifies them into predefined sentiment categories.

Technologies: Python, NLP, Pandas, Scikit-learn, Flask.

Full Stack Hospital Appointment System

The application manages patients, doctors, departments, appointment slots, bookings, and administrative records through a web interface.

Technologies: React, Spring Boot, MySQL, REST API.

AI-Based Fire and Smoke Detection System

A Computer Vision application analyzes images or video and detects predefined fire and smoke classes using an object detection model.

Technologies: Python, OpenCV, YOLO, TensorFlow.

IoT-Based Solar Energy Monitoring System

The system monitors voltage, current, power generation, and selected environmental parameters from a solar-energy setup and displays the information through a dashboard.

Technologies: ESP32, voltage sensor, current sensor, IoT, web dashboard.

Data Science-Based Sales Forecasting Application

The project analyzes historical sales data and develops forecasting models to study future sales trends.

Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Streamlit.

Blockchain-Based Certificate Verification System

A blockchain application stores selected certificate-verification records and provides a mechanism for authorized users to verify records.

Technologies: Solidity, Blockchain, Web3, JavaScript.

Arduino-Based Autonomous Obstacle Avoiding Robot

The robotic vehicle detects obstacles using sensors and changes its direction according to programmed navigation logic.

Technologies: Arduino, ultrasonic sensors, motors, motor driver, Embedded C.

Machine Learning-Based Customer Segmentation

The system analyzes customer information and uses clustering algorithms to group customers according to selected characteristics.

Technologies: Python, Pandas, Scikit-learn, K-Means, Matplotlib.

Full Stack College Placement Management System

The platform manages student profiles, company details, job drives, applications, interview schedules, placement records, and administrator functions.

Technologies: React, Spring Boot, MySQL, REST API.

AI-Based Waste Classification System

A Computer Vision model classifies waste images into predefined categories using a suitable dataset and Deep Learning techniques.

Technologies: Python, TensorFlow, Keras, OpenCV, CNN.

These BE projects with source code can be customized according to the student's engineering branch, programming skills, project scope, preferred technology, hardware requirements, dataset availability, project duration, and college guidelines.

Key Features & Benefits

Applications of BE Projects with Source Code

BE projects with source code can be developed for a wide range of academic, engineering, software, hardware, research, and prototype applications.

Artificial Intelligence projects can be applied to facial recognition, gesture recognition, image classification, object detection, fire detection, chatbots, sentiment analysis, and intelligent automation.

Machine Learning projects can support prediction, recommendation systems, forecasting, classification, clustering, customer analysis, agricultural analytics, business analytics, and academic research.

IoT and Embedded Systems projects can be used for smart agriculture, industrial monitoring, water management, smart parking, solar-energy monitoring, healthcare, environmental monitoring, home automation, and energy management.

Robotics projects can be developed for obstacle avoidance, autonomous movement, object sorting, industrial automation, inspection, material handling, and educational prototypes.

Web and Full Stack projects can be used for hospital management, college management, placement management, online examinations, e-commerce, inventory management, appointment systems, and business applications.

Data Science projects can support sales forecasting, data visualization, customer analytics, academic analytics, trend analysis, and predictive research.

Cybersecurity projects can address phishing detection, intrusion detection, authentication, network monitoring, and security analysis.

Blockchain projects can demonstrate certificate verification, document verification, supply-chain records, and distributed record management.

Source code allows students to study project architecture, programming logic, database operations, API integration, algorithms, hardware communication, and user-interface development.

Implementation Guide

Who Can Benefit from BE Projects with Source Code and Project Domains

BE projects with source code are suitable for final year engineering students who need to complete a major project, academic project, research project, working prototype, software application, hardware implementation, or technology demonstration.

Computer Science Engineering students can explore Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Web Development, Full Stack Development, Cloud Computing, Cybersecurity, and Software Engineering.

Information Technology students can work on web applications, databases, REST APIs, cloud applications, AI systems, Machine Learning, cybersecurity, and enterprise applications.

Artificial Intelligence and Data Science students can choose projects involving Computer Vision, Natural Language Processing, Deep Learning, prediction, forecasting, classification, clustering, recommendation systems, and data analytics.

Electronics and Communication Engineering students can develop IoT, Embedded Systems, robotics, sensor-based applications, communication systems, automation, and monitoring solutions.

Electrical and Electronics Engineering students can explore solar monitoring, energy management, IoT, automation, control systems, power monitoring, and intelligent electrical applications.

Mechanical Engineering students can work on robotics, industrial automation, Computer Vision inspection, predictive maintenance, smart manufacturing, machine monitoring, and intelligent engineering applications.

Popular BE project domains include:

Artificial Intelligence

Machine Learning

Deep Learning

Data Science

Internet of Things

Embedded Systems

Computer Vision

Natural Language Processing

Cybersecurity

Cloud Computing

Web Development

Full Stack Development

Mobile Application Development

Blockchain

Robotics

Smart Agriculture

Healthcare Technology

Smart Manufacturing

Renewable Energy

Industrial Automation

Students can select a domain based on their engineering branch, programming skills, available hardware, dataset requirements, project duration, and college project guidelines.

Technical Specifications

Why Choose Aislyn Technologies for BE Projects with Source Code

Aislyn Technologies, Bangalore provides technical project guidance and development support for engineering students looking for BE projects with source code.

Students can receive support for projects involving Artificial Intelligence, Machine Learning, Deep Learning, Data Science, IoT, Embedded Systems, Computer Vision, Cybersecurity, Web Development, Full Stack Development, Cloud Computing, Blockchain, robotics, automation, and other modern technologies.

Aislyn Technologies can help students identify suitable project topics based on their engineering branch, technical background, academic requirements, project scope, preferred programming language, and technology stack.

Project support can include source code development, project architecture, database design, frontend development, backend development, REST API development, hardware integration, Machine Learning model implementation, sensor integration, testing, debugging, documentation, project demonstration, and presentation preparation.

Students can also discuss customization of source code and project features according to their college requirements and academic guidelines.

For students searching for BE projects with source code in Bangalore, final year projects with source code, engineering projects, AI projects, Machine Learning projects, IoT projects, Embedded Systems projects, Data Science projects, Robotics projects, Web Development projects, or Full Stack projects, Aislyn Technologies provides technical project guidance and development support.

Conclusion & Next Steps

Contact Aislyn Technologies for BE Projects with Source Code

Aislyn Technologies, Bangalore

Phone: +91 97395 94609

Email: info@aislyntech.com

Website: https://aislyn.in

Aislyn Technologies provides project guidance and development support for engineering students searching for BE projects with source code, final year engineering projects, major projects, Artificial Intelligence projects, Machine Learning projects, IoT projects, Embedded Systems projects, Data Science projects, Cybersecurity projects, Robotics projects, Web Development projects, Full Stack Development projects, and other technology-based academic projects.

Students can discuss their engineering branch, project topic, preferred programming language, technology stack, source code requirements, project scope, hardware requirements, dataset requirements, academic guidelines, and development needs with the Aislyn Technologies team.

Contact us today to start building your BE project with source code in Bangalore with our expert support.

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About the Author

Aislyn Technologies
Aislyn Technologies Pvt Ltd

IEEE Projects Expert & Technical Consultant

Aislyn Technologies specializes in final year engineering projects with 10+ years of experience in guiding students across CSE, ECE, and IT domains.

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