You will get Custom ML Solutions: Predictive Modeling & Data Analysis
Rising Talent
Project details
I build custom machine learning solutions for predictive modeling and data analysis, tailored to your specific data and business question. The project covers data preprocessing, model training, evaluation with appropriate metrics, and clear visualizations of the results. You'll receive well-documented code or notebooks so the solution can be reused and adapted for future needs.
I use Python with NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn to deliver reliable, professional results. This is ideal if you want to apply machine learning to make data-driven decisions, improve efficiency, or uncover patterns in your data — whether it's classification, regression, or another predictive task.
I use Python with NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn to deliver reliable, professional results. This is ideal if you want to apply machine learning to make data-driven decisions, improve efficiency, or uncover patterns in your data — whether it's classification, regression, or another predictive task.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Databricks Platform, Databricks MLflow, deeplearn.js, Google Sheets, Keras, MLflow, NumPy, OpenCV, PyMC, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Sonnet, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$59 - $99Frequently asked questions
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SA
Shafquat A.
Oct 5, 2025
AI Food Recognition Model Training for Fitness App
About Fatima
Full Stack Developer | Computer Vision, Agents, RAG, React + FastAPI
Karachi, Pakistan - 10:12 am local time
I design and build the whole stack a real AI product needs: the model, the backend and APIs that serve it, the database behind it, the frontend people interact with, and the deployment that keeps it running. You get one engineer covering every layer instead of hiring separate people for the AI, the backend, and the UI.
Recent project: a PPE safety-compliance system. A vision model detects workers not wearing required safety gear in real time from live camera feeds. A multi-agent layer classifies the violation, logs it, and auto-generates alerts and reports, without a human reviewing every frame. Manual safety monitoring effort was cut by 90 percent.
A little more about me:
Model development: computer vision (detection, classification, real-time monitoring) and LLM based agentic systems (RAG, multi-agent workflows, automation)
Backend: APIs and services built with Python and FastAPI to serve models reliably at scale
Database: schema design and data handling with PostgreSQL, MongoDB, and vector databases for retrieval-based systems
Frontend: interfaces and dashboards built with React and Next.js so clients and their users can actually see and use what the AI is doing, not just receive raw output
Deployment: containerized, cloud-ready builds so the system runs unattended in production rather than sitting in a notebook
What I Offer:
Model layer: YOLO, OpenCV, LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Pinecone, ChromaDB, OpenAI, Claude, Gemini, LLaMA, prompt engineering, function calling
Backend and database: Python, FastAPI, Node.js, PostgreSQL, MongoDB, API integration
Frontend: React, Next.js, JavaScript, HTML, CSS, responsive design, dashboards
Deployment and automation: containerization, cloud deployment, n8n workflow automation
Why Work With Me:
- One engineer across the model, backend, database, frontend, and deployment, fewer handoffs and fewer miscommunications
- Systems built to run in production, with an interface people can actually use, not just a working script
- Clear, realistic timelines and honest scoping from the first message
- Available for one off builds or ongoing collaboration
If you need a vision model, an AI agent, a RAG system, or the full product with a working frontend and backend built around one, send me a message and tell me what you are trying to solve.
Steps for completing your project
After purchasing the project, send requirements so Fatima can start the project.
Delivery time starts when Fatima receives requirements from you.
Fatima works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding
Review your dataset and define the prediction goal and approach
Preprocessing & Feature Engineering
Clean the data and engineer features to prepare it for modeling.