You will get Healthcare Product Recommendations System with end to end MLOps
You will get Healthcare Product Recommendations System with end to end MLOps
POC with your data
a minimal project to understand the solution with your data
- Delivery Time 15 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 4
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
15 days
delivery —
Oct 30, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Joinal gets paid once you are satisfied with the work.
Project details
recsys solution for surfacing relevant products based on the items already on the cart to the user which will enable them to find the products they've been looking for faster.
Machine Learning Tools
Amazon SageMaker, Databricks Platform, Deeplearning4j, Kubeflow, MLflow, NLTK, NumPy, Python, PyTorch, SciPy, TensorFlow, Word2vecWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 60 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 2 | 4 | 6 |
Number of Scenarios | 4 | 6 | 10 |
Number of Graphs/Charts | 10 | 12 | 16 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$800 - $3,000
Additional Revision
+$500
Additional Model Variation
(+ 2 Days)
+$200
Source Code
(+ 2 Days)
+$500About Joinal
Data Scientist | Computer Vision Engineer
Bengaluru, India - 12:45 am local time
My interests includes Image Processing, Computer Vision, Deep Learning, Data Analytics, Machine Learning, Open Source and Reversible Computing. I enjoy deploying Machine Learning solutions to edge devices such as Nvidia Jetson Nano, Raspberrypi, Intel Movidus, Google Coral and Edge TPU.
I mostly code in Python, C++ & can take up technologies quite faster.
I've worked with Onepanel as a ML Engineer, Leadics as a ML Engineer, Cognitive Machines as a Image Processing Engineer, and Sigtuple Technologies as a AI Engineer Trainee. I've also interned at Makein3D, JMoonTech, and BrigoshaTech.
I graduated with a Bachelor's degree in Computer Science & Engineering from Assam University, Silchar in 2017. I'm also a Amazon Certified Solutions Architect - Associate.
I've also done Consulting work with SimpliLearn , LearnKarts and RepayZ
and deliver Corporate Trainings on Python, Machine Learning, Data Sciene, Computer Vision. When I'm not busy hacking, I study recent papers on ML, CV, work on Community Events , attend Hackathons.
I've won LivHack 2019, DBS Hack2Hired 2019, Kreate 2019 and Accenture Digital Hackup - 2019.
Currently i'm running FOSS-Assam , an Non-Profit organisation working towards imparting technical knowledge in North Eastern India.
Steps for completing your project
After purchasing the project, send requirements so Joinal can start the project.
Delivery time starts when Joinal receives requirements from you.
Joinal works on your project following the steps below.
Revisions may occur after the delivery date.
Problem understanding
Define the problem and determine the use case: Identify the specific healthcare problem you want to solve and the use case for the graph recommendation model.
Gather and preprocess data:
Collect and preprocess relevant healthcare data, including patient medical records, hospital records, and clinical trial data.