100+ Machine Learning Projects & Ideas for Students

Introduction

Machine learning projects have been integrated as a fundamental aspect of modern engineering education, which allows students to solve real-world problems through the application of theoretical concepts. When students do practical ML projects, they receive the training of data analysis, model development and smart decision-making through their own experience. Such skills are absolutely necessary in the current technological world, which heavily relies on automation and AI.

Takeoff Edu Group simplified the learning journey by providing structured, industry-focused guidance for ML project ideas. As a trusted engineering project provider, We support students from idea selection to implementation, offering practical AI and data science projects with source code for complete end-to-end assistance.

This article presents more than 100+ machine learning projects and ideas that to provide practical experience for beginners as well as for advanced learners. In case you are a student boosting up your academic profile or a professional upgrading career skills, then these projects are the best way to be exposed to actual ML and data science applications.

1. Agriculture, Environment & Climate Projects

Students working on projects related to machine learning in the fields of agriculture and environment will have the opportunity to apply AI techniques to resolve actual sustainability problems.

Key projects in this domain include:

    ·   Smart Crop And Price Predictor Regions

    ·   Solar Energy Prediction

    ·   Intelligent Indoor Air Quality (IAQ) Monitoring And Forecasting System

    ·   Transfer Learning Based Ensemble Approach For Rainfall Class Amount Prediction

    ·   Explainable AI For Crop Recommendation, Yield Forecasting And Rainfall Prediction In Smart              Agriculture

    ·   Vegetable Price Prediction

    ·    Incorporating Meteorological Data And Pesticide Information

    ·   Glacial Lake Outburst Floods

    ·   Forest Fire Prevention

2. Healthcare, Medical & Biomedical Projects

The main technologies behind healthcare, medical, and biomedical projects are machine learning, AI, and data-based technologies. It is these that enhance patient care, forecast diseases, and streamline medical processes.

Highlighted ML projects in this category include:

    ·   Suicidal Ideation Detection Using Social Media

    ·   Application of Explainable AI on Ensemble Models for Chronic Kidney Disease Prediction

    ·   Machine & Deep Learning Techniques for EEG Signal Classification in Neurological Disorders

    ·   Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-           Driven Multimodal Framework

    ·   Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify Health Risks Groups

    ·   LaborEase An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm            Pregnancy Detection

    ·   Lung Disease Detection and Classification Using Spirometric Dataset

    ·   Healthcare Chatbot Development

    ·   ML-Based Assessment of Mental Stress Using Wearable Sensor Data with Genetic Algorithm

    ·   Heart Failure Prediction for New-born Babies

    ·   Epileptic Seizure Diagnosis Using Ensemble and Deep Learning Models

    ·   Predicting the Necessity of Oxygen Therapy in Chronic Obstructive Pulmonary Disease

    ·   Diabetes Prediction Based on Body and Symptom Parameters

    ·   Alternative Medicine Recommendation System

    ·   Stacked Ensemble Model with SMOTE for Heart Disease Prediction

    ·   Brain Stroke Prediction Using XGBoost, LGBM, CNN, and CNN-LSTM

    ·   Artificial Rabbits Optimizer with ML-Based Emergency Department Monitoring and Medical                Data Classification at KSA Hospitals

3. Cyber Security, Network Security & Forensics Projects

Cybersecurity and network security projects assist learners to gain practical experience in safeguarding digital infrastructures, identifying attacks, and conducting forensics on cyber events.

Popular project ideas under this domain:

    ·   Prediction of LOS NLOS using Machine Learning

    ·   Detection of IT and Mobile Network Attacks

    ·   Smart Industry Anomaly Detection Dataset for Cyber-Physical Threat Monitoring in Industrial              IoT Environment

    ·   QOS Aware Routing In SDN Using Machine Learning

    ·   Automated Root Cause Analysis of Network Failures in IPMPLS Network

    ·   Analyzing And Detecting Money laundering Accounts

    ·   Robust Network Intrusion Detection System Based on Machine-Learning with Early                               Classification

    ·   Web Data Mining To Detect Online Spread Of Terrorism

    ·   Active-Darknet: An Iterative Learning Approach for Darknet Traffic Detection and                                  Categorization

    ·   Hardware Trojan Identification And Stoppage

    ·   Two-Factor Worm Detection based on Signature

    ·   BOTNET Detection Using Machine Learning

    ·   Intrusion detection system using machine learning and deep learning

    ·   Enhancing Cyber Security Postures Using Advanced Machine Learning Techniques

    ·   Fraud Detection in Financial Transactions Using Advanced Analytical Techniques

4. Transportation, Traffic & Smart Cities Projects

Transportation, traffic flows, and smart city initiatives aim to create smart systems that will make urban movement easier, smooth the places where there are long waits, and make city life safer.

Key projects in this domain include:

    ·   Traffic Congestion Level Prediction using Temporal, Weather and Event Based Features

    ·   Deep Adaptive Feature Fusion for Origin-Destination Passenger Flow Forecasting in Mass                   Events

    ·   Power quality analysis and enhancement of long transmission lines with machine learning

    ·   Applying Machine Learning Techniques to Improve Linux Process Scheduling

    ·   On Smart Traffic Management

    ·   Traffic prediction using machine learning

    ·   Travel Mode Choice Prediction Using Imbalance Machine Learning

    ·   Flight Delay Prediction Using Machine Learning

5. AI Assistants, Chatbots & NLP Projects

AI assistants, chatbots, and natural language processing (NLP) driven projects are working on the development of intelligent systems that can recognize, interpret and respond to human languages.

Highlighted ML projects in this category include

    ·   AI-Based Code Review Assistant

    ·   Conversational Predictive Maintenance Assistant for EV Fleet

    ·   MyYojana An ML-based E-Governance Chabot hosted on AWS

    ·   Sentiment Analysis for YouTube Comment using AI

    ·   Conversational AI For Farmers

    ·   Sentiment Analysis of Social Media Presence

    ·   Sentiment Analysis of Incoming Calls on Helpdesk

    ·   Ai Powered Legal Documentation Assistant

    ·   Unified AI Conversational Platform Using Streamlit

6. Computer Vision & Image Processing Projects

Students can create solutions that can analyze, interpret, and even understand the visual data coming from images and videos by means of projects based on computer vision and image processing.

Popular project ideas under this domain:

    ·   Leveraging Machine Learning Approaches to Decode Hive Sounds for Stress Prediction

    ·   Tomato Leaf and Fruit Disease Detection

    ·   Application of Image Analytics for Tree Enumeration for Diversion of Forest Land

    ·   PCB Defects Detection

    ·   Intelligent Animal Detection for Smart Agricultural Management Using AI-Based Solutions

    ·   Virtual Mouse in PPT Application

    ·   Train track defects detection and complaint redressal system

    ·   Weapon detection using Computer Vision and Deep Learning

    ·   Image-Based Captcha Recognition Using Deep Learning Models

    ·   Image Segmentation on Satellite Images

    ·   Image Dehazing Using CNN

7. Business, Finance & E-Commerce Projects

Machine learning, AI, and data analytics are the primary tools in projects related to business, finance, and e-commerce for enhancing operations, predicting trends, and facilitating better decision-making.

Key projects in this domain include:

    ·   Predicting Customer Purchase Behaviour

    ·   Multi-Step Regression Classification for Employee Attrition Salary Estimation

    ·   Sales Prediction

    ·   Smartphones Price Estimation System

    ·   Predicting The Risk Level of a Loan Based On The Customer's Personal Factors Using Machine Learning

    ·   Characterization and Prediction of Popular Projects on GitHub

    ·   Personalized E-Learning Recommendation System

    ·   Restaurant Recommendation System

    ·   Smart Career Advisor Using Machine Learning

    ·   Enhancing Telemarketing Success

    ·   Player Behavior Prediction for In-Game Purchase Using ML

8. Data Mining, Analytics & Explainable AI Projects

The projects in the fields of data mining, analytics, and explainable AI are drawing the line of extracting valuable insights from huge datasets while keeping the model decisions interpretable and transparent.

Featured projects in this domain include:

    ·   You Are What You Buy: Personal Information Extraction From Anonymized Data

    ·   Continuous Management of ML-Based Applications

    ·   Explainable Data Driven Digital Twins for Predicting Battery States in Electric Vehicles

    ·   Analysis For Disease Gene Association Using Machine Learning

    ·   Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart              Grid

    ·   Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors

    ·   Utilizing KNN for Classification: An Exploration with the Diabetes Dataset

9. Education & Research Automation Projects

Education and research automation projects aim to the use of AI, ML, and data-driven technologies to improve learning experiences, simplify academic workflows, and aid in research activities.

Core projects in this domain include:

    ·   The Intelligent Tutor

    ·   Alumni Network: An Academic Portal Using Machine Learning

    ·   Automatic Literature Review Generation on Scientific Papers using Deep Learning

    ·   A Semi-supervised Learning Approach To Quality-based Web Service Classification

Conclusion

Looking for machine learning projects with source code and expert guidance? Explore industry-ready solutions guided by Takeoff Edu Group to build real-world ML applications. No matter what your project requirements are, Takeoff Edu Group is determined to assist students in getting the best by offering the top-notch machine learning projects and guidance.

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