Best Machine Learning Projects
Machine learning projects are made easy with Takeoff Projects – a leading project provider for engineering students. We offer hands-on support and ready-to-use kits to help students build smart and practical solutions. From machine learning (ML) and AI to IoT and data science, Takeoff guide you at every single step. With Takeoff Projects, turning ideas into real, working projects becomes simple and effective.
Project Code: TCMAPY1719
Project Title:Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal FrameworkView DetailsProject Code: TCMAPY1697
Project Title:Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify Health Risk GroupsView DetailsProject Code: TCMAPY1696
Project Title:LaborEase An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy DetectionView DetailsProject Code: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1742 | Predicting customer purchase behaviour | |
| 2 | TCMAPY1719 | Predicting Medical Device Life Expectancy and Estimating Remaining Use... | |
| 3 | TCMAPY1697 | Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify ... | |
| 4 | TCMAPY1696 | LaborEase An Artificial Intelligence-Based Wearable Electrohysterograp... | |
| 5 | TCMAPY1684 | SOLAR ENERGY PREDICTION | |
| 6 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
| 7 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
| 8 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
| 9 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
| 10 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS |
Project Code: TCMAPY1719
Project Title:Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal FrameworkView DetailsProject Code: TCMAPY1697
Project Title:Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify Health Risk GroupsView DetailsProject Code: TCMAPY1696
Project Title:LaborEase An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy DetectionView DetailsProject Code: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1742 | Predicting customer purchase behaviour | |
| 2 | TCMAPY1719 | Predicting Medical Device Life Expectancy and Estimating Remaining Use... | |
| 3 | TCMAPY1697 | Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify ... | |
| 4 | TCMAPY1696 | LaborEase An Artificial Intelligence-Based Wearable Electrohysterograp... | |
| 5 | TCMAPY1684 | SOLAR ENERGY PREDICTION | |
| 6 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
| 7 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
| 8 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
| 9 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
| 10 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS |
Project Code: TCMAPY1719
Project Title:Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal FrameworkView DetailsProject Code: TCMAPY1697
Project Title:Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify Health Risk GroupsView DetailsProject Code: TCMAPY1696
Project Title:LaborEase An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy DetectionView DetailsProject Code: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1742 | Predicting customer purchase behaviour | |
| 2 | TCMAPY1719 | Predicting Medical Device Life Expectancy and Estimating Remaining Use... | |
| 3 | TCMAPY1697 | Monitoring Heart Rate Recovery Using Wearable ECG Devices to Identify ... | |
| 4 | TCMAPY1696 | LaborEase An Artificial Intelligence-Based Wearable Electrohysterograp... | |
| 5 | TCMAPY1684 | SOLAR ENERGY PREDICTION | |
| 6 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
| 7 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
| 8 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
| 9 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
| 10 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS |
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At Takeoff Edu Group, we offer hands-on machine learning projects for students to develop their skills and gain practical experience in the field of Machine Learning. Our projects are designed to challenge students and help them build a strong foundation in the subject.
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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.
