You will get Stress and anxiety detection using machine learning
Project details
Stress and anxiety these days have become a prevalent issue affecting individuals well-being and productivity. Early detection of these conditions is super crucial for timely intervention and prevention of associated health complications. This paper is all about proposing an EEG-based approach for stress and anxiety detection using some machine-learning techniques. The dataset consists of EEG recordings, like, obtained from individuals under different stress and anxiety levels. Various machine learning algorithms Decision Tree and Kernel Support Vector Machine, are employed for some dope classification tasks. Additionally, a deep learning framework based on feed-forward artificial neural networks is introduced for, some comparative analysis, The study evaluates the accuracies of both three-class (relaxed vs. baseline vs. stressed) and binary (stressed vs. non-stressed) classifications. Results demonstrate, some promising accuracies with machine learning techniques achieving up to 91% and 63% for three-class and binary classifications, respectively.
Machine Learning Tools
NumPy, pandas, Python, SciPyWhat's included
| Service Tiers |
Starter
$25
|
Standard
$30
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 1 |
Number of Graphs/Charts | 0 | 0 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
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+$10About Kshitij
AI & Machine Learning | Data Analyst | Python developer
Pune, India - 4:14 pm local time
Beyond my academic pursuits, I am recognized for my proactive and inventive approach. My innovative idea secured a coveted spot in the 11th Cohort of the Xartup Fellowship, a distinguished start-up program. Moreover, I actively engaged in esteemed competitions like the Accenture Innovation Challenge and Hero Campus Challenge, demonstrating my commitment to pushing creative boundaries.
During my intrnship at NexG Healthcare Solutions, I refined my skills in analytics, business intelligence, Python, and SQL through hands-on experience.
Proficient in C++, Python, SQL, and Object-Oriented Programming, and equipped with a robust understanding of Machine Learning, I am well-equipped to contribute meaningfully to any software development team.
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