You will get AI-Powered Personalized Machine Learning Recommendation System

Project details
You will receive a personalized Machine Learning Recommendation System that is tailored to your specific needs, enhancing user engagement and driving better results for your business. With extensive experience in developing AI-driven solutions, I focus on delivering high-quality, reliable models that are easy to integrate with your existing systems. My approach combines cutting-edge algorithms with a deep understanding of your industry, ensuring that the recommendations generated are both accurate and actionable. The work I deliver is not just a product; it’s a strategic asset that will empower your business to better serve your customers and achieve your goals.
Machine Learning Tools
Azure Machine Learning, Chainer, ChatGPT, Databricks Platform, deeplearn.js, Deeplearning4j, GitHub Copilot, GoLearn, Google AutoML, GPT-3, Microsoft Excel, MLflow, NLTK, NumPy, pandas, Python, Python Scikit-Learn, QlikView, Salesforce Einstein, scikit-learn, SciPy, Scrapy, SQL, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $1,250
Model Documentation
(+ 1 Day)
+$30
Data Source Connectivity
+$20
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Samuel is an excellent AI Automation Specialist - I highly recommend him!
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Rocco Alberto B.
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Samuel is a great professional and his skills as an AI Automation Specialist are great
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About Samuel
AI & Full-Stack Engineer | Python - React + Native | Web + Mobile Apps
100%
Job Success
Lagos, Nigeria - 8:14 am local time
I work mostly with Python (Django / FastAPI) and TypeScript (React / Next.js), and I ship things like LLM chatbots (RAG), real-time chat systems (WebSockets), dashboards, APIs, payment flows, and workflow automations (n8n/Zapier). I’m also comfortable with the “boring but important” side: clean architecture, testing, deployments, Docker, and performance/security basics.
I also build mobile apps for Android and iOS (often with React Native/Flutter), and I can help you deploy and publish to the Google Play Store and Apple App Store — including build setup, signing, release workflows, and store submission support.
Recent work includes:
- AI assistants that can read from a knowledge base (RAG) and respond in real-time
- Automation pipelines for content/news aggregation, WhatsApp/email workflows, and CRM-like operations
- Full-stack platforms with role-based access, subscriptions, and analytics
I also have hands-on experience with IoT (Arduino / Raspberry Pi) and enjoy building systems where software meets hardware.
Outside client work, I'm active on LinkedIn, sharing practical lessons from building and shipping.
If you want someone who can understand the goal, design the solution, and deliver it end-to-end, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Samuel can start the project.
Delivery time starts when Samuel receives requirements from you.
Samuel works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Analysis
I will gather and analyze the provided data to understand patterns and trends. This step includes data cleaning and preprocessing to ensure the dataset is ready for modeling.
Model Development
Based on the analyzed data, I will select the most appropriate Machine Learning algorithm and develop the recommendation model tailored to your objectives.