You will get ParkSense AI – Voice-Based Parkinson’s Detection
Project details
I will build a custom Machine Learning / AI model tailored to your business or research needs. With expertise in Python, Scikit-learn, XGBoost, CatBoost, and full-stack integration (Flask + React), I deliver end-to-end ML solutions — from data preprocessing and feature engineering to training, evaluation, and deployment. My work is always focused on accuracy, scalability, and clear results. Whether you need predictive analytics, classification, or healthcare-focused AI like Parkinson’s detection, I will provide a reliable solution with documentation and support. The code and models I deliver are clean, efficient, and production-ready.
Machine Learning Tools
ChatGPT, deeplearn.js, GitHub Copilot, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Sonnet, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Aarav
QA Testing | Agile Software Development, Agile Project Management
Bengaluru, India - 10:59 am local time
Steps for completing your project
After purchasing the project, send requirements so Aarav can start the project.
Delivery time starts when Aarav receives requirements from you.
Aarav works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Requirement Gathering
Data Preprocessing
Cleaning, feature extraction, handling imbalance, and exploratory analysis.