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You will get AI-Powered Multimedia Forgery Detection Platform

Ala B.Status: Offline
Ala B. Ala B.
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Ala, priced and ready to go.
Ala B.Status: Offline
Ala B. Ala B.
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Ala, priced and ready to go.

Project details

I am developing an AI-powered intelligent platform for detecting multimedia content forgery (images and videos). The system uses deep learning and computer vision techniques to identify manipulations, edits, or fake content with high accuracy.

This project is designed as an end-to-end solution, including automatic file analysis, AI model processing, clear result visualization, and detailed report generation accessible through an intuitive web interface. The goal is to strengthen digital media authentication and combat visual misinformation
Machine Learning Tools
NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch
What's included
Service Tiers Starter
$50
Standard
$150
Advanced
$350
Delivery Time 2 days 4 days 7 days
Number of Revisions
135
Number of Model Variations
113
Number of Scenarios
135
Number of Graphs/Charts
2510
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
Source Code
-
-
Optional add-ons You can add these on the next page.
Additional Revision
+$50
Additional Graph/Chart (+ 2 Days)
+$50
Source Code (+ 3 Days)
+$300
Ala B.Status: Offline

About Ala

Ala B.Status: Offline
AI Research Engineer in ML|Deep Learning |Python Developer
Kairouan, Tunisia - 1:31 pm local time
Developer and UX/UI Designer
Python
Machine Learning
Deep Learning
Computer Vision
NLP
TensorFlow / PyTorch
OpenCV
Flask / FastAPI
React/MongoDB / Node.js
C/PHP/JAVA

Steps for completing your project

After purchasing the project, send requirements so Ala can start the project.

Delivery time starts when Ala receives requirements from you.

Ala works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements Analysis

Review project objectives, media types, datasets, and technical requirements.

Data Preparation

Collect, clean, and preprocess images or videos for model training and evaluation.

Review the work, release payment, and leave feedback to Ala.