AI Security & Listing Verification System
Budget: $30 – $250 USD
Project Title:
AI-Powered Marketplace Security & Listing Verification System for Dubdubai.com
Project Description
We are building an advanced AI-powered trust and security system for Dubdubai.com, a UAE-based classified marketplace platform that allows users to post listings for cars, property, and general classifieds.
We are looking for an experienced developer or AI engineer to design and implement an automated listing verification system that can detect fraud, scams, and illegal listings without human moderation.
The goal is to create a multi-layer AI moderation and risk scoring system that automatically approves or rejects listings.
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Existing Tech Stack
• Backend: Node.js / Express
• Frontend: Next.js
• Database: MongoDB
• Infrastructure: VPS / Cloudflare
---
Project Scope
The developer will build the following components:
1. AI Listing Content Moderation
- Scan listing title and description
- Detect spam, illegal products, and prohibited content
- AI text classification
2. Image Moderation System
- Detect duplicate images
- Detect stolen or stock photos
- Image similarity detection
- AI content detection
3. Fraud Detection Engine
Analyze behavior patterns such as:
- price anomalies
- duplicate listings
- suspicious posting patterns
- repeated phone numbers or accounts
4. AI Risk Scoring Engine
Each listing must receive a risk score (0–100) based on:
- seller trust
- listing content
- image authenticity
- fraud signals
Automated logic:
Score > 70 → auto publish
Score 50–70 → AI second review
Score < 50 → reject listing
5. Seller Trust Score System
Create a reputation system for sellers based on:
- account age
- verified identity
- successful listings
- buyer feedback
- fraud reports
6. Document Verification (Optional Phase)
AI verification for uploaded documents:
- vehicle registration
- property title deed
- tenancy contracts
OCR extraction and fraud detection.
7. Security Layer
Integration with firewall and bot protection such as:
- API rate limiting
- bot detection
- device fingerprinting
- IP reputation checks
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Expected Deliverables
• AI moderation API
• fraud detection engine
• listing risk scoring system
• seller trust scoring module
• documentation and deployment guide
---
Developer Requirements
- Strong experience with Node.js / Express
- Experience building AI moderation systems
- Experience with machine learning or AI APIs
- Knowledge of fraud detection for marketplaces
- Experience working with MongoDB
Preferred experience with:
- OpenAI APIs
- image recognition systems
- marketplace platforms
---
Project Timeline
Estimated duration:
8–10 weeks
---
About Dubdubai
Dubdubai.com is a UAE-based online marketplace designed to provide secure and trusted listings for cars, property, and classifieds.
Our goal is to create one of the safest marketplace platforms in the region using AI-powered moderation and fraud detection.
---
To Apply
Please include:
1. Examples of similar marketplace or AI moderation projects
2. Your proposed architecture approach
3. Estimated timeline
4. Technology stack recommendation
AI-Powered Marketplace Security & Listing Verification System for Dubdubai.com
Project Description
We are building an advanced AI-powered trust and security system for Dubdubai.com, a UAE-based classified marketplace platform that allows users to post listings for cars, property, and general classifieds.
We are looking for an experienced developer or AI engineer to design and implement an automated listing verification system that can detect fraud, scams, and illegal listings without human moderation.
The goal is to create a multi-layer AI moderation and risk scoring system that automatically approves or rejects listings.
---
Existing Tech Stack
• Backend: Node.js / Express
• Frontend: Next.js
• Database: MongoDB
• Infrastructure: VPS / Cloudflare
---
Project Scope
The developer will build the following components:
1. AI Listing Content Moderation
- Scan listing title and description
- Detect spam, illegal products, and prohibited content
- AI text classification
2. Image Moderation System
- Detect duplicate images
- Detect stolen or stock photos
- Image similarity detection
- AI content detection
3. Fraud Detection Engine
Analyze behavior patterns such as:
- price anomalies
- duplicate listings
- suspicious posting patterns
- repeated phone numbers or accounts
4. AI Risk Scoring Engine
Each listing must receive a risk score (0–100) based on:
- seller trust
- listing content
- image authenticity
- fraud signals
Automated logic:
Score > 70 → auto publish
Score 50–70 → AI second review
Score < 50 → reject listing
5. Seller Trust Score System
Create a reputation system for sellers based on:
- account age
- verified identity
- successful listings
- buyer feedback
- fraud reports
6. Document Verification (Optional Phase)
AI verification for uploaded documents:
- vehicle registration
- property title deed
- tenancy contracts
OCR extraction and fraud detection.
7. Security Layer
Integration with firewall and bot protection such as:
- API rate limiting
- bot detection
- device fingerprinting
- IP reputation checks
---
Expected Deliverables
• AI moderation API
• fraud detection engine
• listing risk scoring system
• seller trust scoring module
• documentation and deployment guide
---
Developer Requirements
- Strong experience with Node.js / Express
- Experience building AI moderation systems
- Experience with machine learning or AI APIs
- Knowledge of fraud detection for marketplaces
- Experience working with MongoDB
Preferred experience with:
- OpenAI APIs
- image recognition systems
- marketplace platforms
---
Project Timeline
Estimated duration:
8–10 weeks
---
About Dubdubai
Dubdubai.com is a UAE-based online marketplace designed to provide secure and trusted listings for cars, property, and classifieds.
Our goal is to create one of the safest marketplace platforms in the region using AI-powered moderation and fraud detection.
---
To Apply
Please include:
1. Examples of similar marketplace or AI moderation projects
2. Your proposed architecture approach
3. Estimated timeline
4. Technology stack recommendation