You will get AI Monitoring API – Fraud Detection in Training & Coaching
Project details
It is an AI-based Web API for monitoring and detecting fraudulent behavior in solo training sessions, coaching, or interviews. The system uses advanced computer vision models like YOLO and audiovisual (AV) analysis packages to track suspicious movements, presence of unauthorized persons, screen switching, or external coaching attempts.
The API is designed to work in remote, real-time, or recorded setups, where it monitors live or uploaded video feeds to detect anomalies in candidate behavior. It supports integration into web and desktop-based platforms for training, interviewing, or educational assessments.
The system leverages object detection, face and voice activity tracking, and movement analysis to flag suspicious behavior patterns. You receive structured, timestamped logs and visual annotations of the detected events, making it easier to audit sessions.
This setup enables organizations to ensure the integrity of solo learning, mock interviews, internal assessments, and candidate evaluations. The Web API can be integrated with LMS, HR, or video conferencing platforms to automate the monitoring process and enforce fairness, compliance, and trust.
The API is designed to work in remote, real-time, or recorded setups, where it monitors live or uploaded video feeds to detect anomalies in candidate behavior. It supports integration into web and desktop-based platforms for training, interviewing, or educational assessments.
The system leverages object detection, face and voice activity tracking, and movement analysis to flag suspicious behavior patterns. You receive structured, timestamped logs and visual annotations of the detected events, making it easier to audit sessions.
This setup enables organizations to ensure the integrity of solo learning, mock interviews, internal assessments, and candidate evaluations. The Web API can be integrated with LMS, HR, or video conferencing platforms to automate the monitoring process and enforce fairness, compliance, and trust.
Machine Learning Tools
Amazon SageMaker, BERT, ChatGPT, deeplearn.js, Fiddler.ai, Google AutoML, GPT-3, MLflow, NumPy, NVIDIA AI Platform, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 20 days |
Number of Revisions | 0 | 0 | 1 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 10 Days)
+$300
Additional Scenario
(+ 10 Days)
+$300
Additional Graph/Chart
(+ 10 Days)
+$300
Model Validation/Testing
(+ 10 Days)
+$300
Model Documentation
(+ 10 Days)
+$300Frequently asked questions
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About Rafey Syed
Expert Cloud AI Engineer
84%
Job Success
Karachi, Pakistan - 2:33 am local time
I’m an Expert Full-Stack Cloud Engineer with 27+ years of experience in developing scalable web and mobile platforms.
I can help you build your AWS, Azure, and GCP based web MVP or SaaS with backend databases like MySQL, MongoDB, Cassandra, DynamoDB, CosmosDB, SQL Server, Firebird, Azure SQL, and Elasticsearch.
I have deep experience in building scalable Cloud solutions using API Gateways, Docker/Kubernetes (AKS, GKS, EKS), REST, GraphQL, CI/CD, and Microservices (with RabbitMQ and Kafka).
Being good at web development, I can build frontend apps using React, Angular and Vue frameworks for your MVP.
I have previously built scalable systems and MVPs in various industries. For example:
I'll help you create a list of cloud projects from your portfolio, organized by cloud provider. I'll analyze the project summaries and categorize them based on the cloud technologies mentioned.
AWS Projects:
1. Small World Financial Services
- Banking domain
- Technologies: AWS, SpringBoot, Java
- Focus: International money transfer systems
2. TradeSun
- Banking domain
- Technologies: AWS Lambda, NodeJS, Angular, Serverless, DynamoDB
- Focus: AI-powered trade document checking system for JPMorgan
3. CrazyDeals.com
- E-commerce domain
- Technologies: AWS, Magento, Redis, MySQL
- Focus: Online shopping platform optimization
4. Al Jazeera Media Network
- Media domain
- Technologies: AWS, SASS, JSP, NodeJS, Ruby
- Focus: Content management system for news production
5. Pop Social
- Social Media domain
- Technologies: React Native, SpringBoot, GO, AWS
- Focus: Social media platform with Web3 integration
6. ApexChat
- Communication domain
- Technologies: Socket.io, AWS Fargate, SQS, SNS, NodeJs
- Focus: Customer service chat system
7. TaskQue.com
- Project Management domain
- Technologies: PHP Lumen/Yii, AWS, AngularJS2, MongoDB
- Focus: Project management tool
8. Smart Gun Cover System
- IoT domain
- Technologies: AWS IoT, AWS SNS, Python TensorFlow
- Focus: AI-powered firearm monitoring system
9. AARP MoneyMap
- Analytics domain
- Technologies: React, Apollo, GraphQL, Google Analytics, Aurora
- Focus: User behavior analytics platform for financial planning
Azure Projects:
1. iPrice Group
- E-commerce domain
- Technologies: Azure, PowerBI, Python, Cassandra
- Focus: Price comparison data system
2. GET Consulting
- ERP domain
- Technologies: Azure Functions, Cosmos, Service Bus, Redis, Angular
- Focus: Cloud-based business management system
GCP Projects:
1. SCEAI Qatari Economics Portal
- Public sector, analytics domain
- Technologies: GCP OpenAI, Pinecone, Web API
- Focus: RAG/AI-powered data analytics and question answering system
I believe I can build nice Cloud solutions for you. I am looking forward to working with you.
Warm Regards,
Rafey
Full-Stack Cloud Engineer | Azure | AWS | GCP
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