You will get an AI recommendation system for personalized products or content
Project details
You will get a machine learning recommendation engine that delivers personalized product or content suggestions based on user behavior and preferences.
This system analyzes historical user interactions such as clicks, purchases, views, or ratings to identify patterns and generate smart recommendations that improve engagement and conversion rates. It can be used for e-commerce platforms, streaming services, content platforms, or SaaS applications.
The recommendation engine can implement techniques such as similarity-based recommendations, collaborative filtering, or content-based filtering, depending on your data and business goals. The system can also expose recommendations through a REST API, making it easy to integrate into websites, mobile apps, or internal dashboards.
By automating personalized suggestions, this solution helps businesses increase user engagement, improve retention, and boost sales.
If you want to deliver smarter recommendations and create a more personalized experience for your users, this machine learning solution will help you achieve that.
This system analyzes historical user interactions such as clicks, purchases, views, or ratings to identify patterns and generate smart recommendations that improve engagement and conversion rates. It can be used for e-commerce platforms, streaming services, content platforms, or SaaS applications.
The recommendation engine can implement techniques such as similarity-based recommendations, collaborative filtering, or content-based filtering, depending on your data and business goals. The system can also expose recommendations through a REST API, making it easy to integrate into websites, mobile apps, or internal dashboards.
By automating personalized suggestions, this solution helps businesses increase user engagement, improve retention, and boost sales.
If you want to deliver smarter recommendations and create a more personalized experience for your users, this machine learning solution will help you achieve that.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multilayer Perceptron, Regression AnalysisAI Applications
AI Content Creation, AI-Enhanced Classification, Anomaly Detection, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, Replit, Streamlit, TensorFlowAI Models
BLOOM, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$30
|
Standard
$75
|
Advanced
$140
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 7 days |
Number of Revisions | 0 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | ||
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $100
Real-time Recommendations API
(+ 2 Days)
+$30
E-commerce Integration (Shopify/WooCommerce)
(+ 3 Days)
+$40
User Analytics Dashboard
(+ 3 Days)
+$45Frequently asked questions
About Mohammad Abdur Rehman
SaaS | AI Models | AI Apps | AI, SaaS, Python Expert
Lahore Cantt, Pakistan - 1:56 pm local time
I'm Abdur Rehman, a Full-Stack AI Engineer and CTO specializing in production-ready AI SaaS platforms, RAG systems, and autonomous AI agents. I've shipped an AI fitness coach with real-time computer vision feedback, an AI exam generator that creates quizzes automatically from course syllabi, and an architecture intelligence system that analyzes entire codebases and generates risk-aware engineering decisions.
I don't build prototypes. I build systems that scale.
What I bring to your AI project:
I design and deploy RAG pipelines using LangChain, OpenAI, and vector databases so your AI retrieves accurate contextual information instead of hallucinating. I build AI agents with autonomous decision-making workflows that handle real business logic end to end. I architect FastAPI backends that are clean, scalable, and production-ready from the first deployment. I integrate LLMs into SaaS platforms with proper authentication, billing, and dashboards so you have a complete product, not just an AI feature. I handle LLM evaluation, testing, and optimization so your system performs reliably under real usage.
IBM is certified in RAG and Agentic AI. Google Cloud certified. Top 4 nationally in Google Code Jam 2021.
If you're building an AI product and need someone who thinks about reliability, scalability, and user impact before writing the first line of code, let's talk.
What are you building?
Steps for completing your project
After purchasing the project, send requirements so Mohammad Abdur Rehman can start the project.
Delivery time starts when Mohammad Abdur Rehman receives requirements from you.
Mohammad Abdur Rehman works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement analysis
Review the datasets, user behavior data, and project goals to determine the best recommendation approach.
Data processing and feature engineering
Clean and prepare the data, extract relevant features, and structure datasets for training the recommendation model.