You will get a machine learning integrated chatbot and multiple apps
Project details
I will build a clean, efficient and smart Diabetes Prediction App using machine learning that gives accurate health risk insights based on user input. I specialize in turning complex medical data into simple, usable interfaces. This project is perfect for researchers, health professionals, or anyone looking to integrate predictive healthcare technology into their platform. The solution will be fast, lightweight, and visually appealing — powered by Python and Streamlit.
Machine Learning Tools
BERT, BigDL, ChatGPT, deeplearn.js, Deeplearning4j, GitHub Copilot, GoLearn, Google Data Studio, Google Sheets, GPT-3, Keras, KNIME, MATLAB, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 5 days |
Number of Revisions | 2 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 2 | 3 | 5 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Scenario
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 1 Day)
+$10
Data Source Connectivity
(+ 2 Days)
+$10Frequently asked questions
About Shambhavi
Machine Learning Engineer
Lucknow, India - 5:02 am local time
Steps for completing your project
After purchasing the project, send requirements so Shambhavi can start the project.
Delivery time starts when Shambhavi receives requirements from you.
Shambhavi works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Collection
I will collect all necessary inputs, such as desired features, dataset format, and UI preferences. I may also suggest improvements based on best practices.
Dataset Analysis and Preprocessing
I will clean and preprocess the dataset, handle missing values, and perform exploratory data analysis (EDA) to understand patterns and features.

