You will get Custom Predictive Analytics Web App (React + Python ML)
Project details
Get a custom predictive analytics web application built from scratch using React/Next.js and Python ML. I deliver a user-friendly interface, backend API with trained models, database integration, responsive design, and deployment instructions. Ideal for loan approval predictors, recommendation engines, demand forecasting, and fraud detection.
Machine Learning Tools
Keras, NumPy, pandas, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
About Afnan Mehmood
Full-Stack Data Scientist | Python ML + React/Next.js
Sargodha, Pakistan - 11:53 am local time
What I deliver:
→ Interactive dashboards with live ML predictions (Tableau, Power BI, custom React apps)
→ Predictive analytics systems (churn prediction, demand forecasting, fraud detection)
→ End-to-end ML applications from data exploration to production deployment
→ Real-time analytics tools with clean UI/UX
Tech Stack:
- ML/Data Science: Python, TensorFlow, Scikit-learn, XGBoost, Pandas, NumPy
- Web Development: React, Next.js, Flask, Django
- Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Databases: PostgreSQL, MySQL, SQL
- Big Data: Hadoop, Apache Spark
I eliminate the gap between data science and deployment. One person, full solution.
Available for: Custom dashboards, ML integration, predictive modeling, data visualization apps.
Steps for completing your project
After purchasing the project, send requirements so Afnan Mehmood can start the project.
Delivery time starts when Afnan Mehmood receives requirements from you.
Afnan Mehmood works on your project following the steps below.
Revisions may occur after the delivery date.
Develop and integrate ML models
Build and integrate selected ML models into the backend API, implement data preprocessing and feature engineering, test predictions, and refine the user interface for a seamless experience.