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You will get Intelligent Real-Time Recommendation Engine Delivering Personalized Content
Project details
A real-time recommendation system that delivers personalized and dynamically updated recommendations based on user behavior. The system continuously adapts to changes in user interactions to provide relevant suggestions in real time, improving user experience and increasing engagement with products.(The Right Product for The Right Customer)
Machine Learning Tools
ChatGPT, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learnWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 2 | 3 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Takiy Eddine
Time Recommendation Systems Engineer (FastAPI, Faiss, Redis, ML/DL)
Guelma, Algeria - 2:53 am local time
Steps for completing your project
After purchasing the project, send requirements so Takiy Eddine can start the project.
Delivery time starts when Takiy Eddine receives requirements from you.
Takiy Eddine works on your project following the steps below.
Revisions may occur after the delivery date.
Review the provided data and understand the project requirements
Process the data
Process the data and encode it to make it suitable for the recommendation model