Why Choose This Project?
Image recognition is increasingly important for applications like security, e-commerce, social media, healthcare, and surveillance. AWS Rekognition provides a fully managed AI service to detect objects, faces, text, and inappropriate content in images and videos.
This project allows students to learn cloud-based AI/ML services, image analysis, and automation without building complex ML models from scratch.
What You Get
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Upload images and analyze them for objects, faces, and text
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Detect inappropriate or unsafe content
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Face comparison and recognition
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Facial attribute detection (age range, emotions, gender, etc.)
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Search for faces in a pre-built collection
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Integration with notifications, dashboards, or apps
Key Features
| Feature |
Description |
| Object & Scene Detection |
Detect common objects, scenes, and activities in images |
| Facial Analysis |
Detect faces and analyze attributes like emotion, age, and gender |
| Face Comparison |
Compare two faces to determine similarity |
| Face Search |
Search for faces in a collection of images |
| Unsafe Content Detection |
Identify adult or violent content automatically |
| Text in Image Detection |
Detect and extract text from images |
| Integration Ready |
Easily integrate with apps, dashboards, or serverless workflows |
| Scalable & Serverless |
Fully managed cloud service that scales with demand |
Technology Stack
| Layer |
Tools/Technologies |
| Frontend |
HTML5, CSS3, Bootstrap 5, JavaScript |
| Backend |
Node.js (Express) or Python (Flask/Django) |
| AI Service |
AWS Rekognition |
| Storage |
Amazon S3 for storing images |
| Authentication |
AWS Cognito or JWT |
| Monitoring |
CloudWatch for API usage metrics |
AWS Services Used
| AWS Service |
Purpose |
| AWS Rekognition |
Image and face recognition, text detection, unsafe content detection |
| Amazon S3 |
Store uploaded images and image collections |
| AWS Lambda |
Optional serverless processing of images |
| AWS Cognito |
User authentication and authorization |
| CloudWatch |
Monitor API calls and usage |
| SNS / SQS |
Optional notifications for analysis results |
Working Flow
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Image Upload
Users upload images to an S3 bucket via the frontend.
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Trigger Rekognition
Lambda or backend service sends the image to AWS Rekognition for analysis.
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Analysis & Detection
Rekognition identifies objects, faces, text, and content type.
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Results Handling
Results are returned to the frontend for display, or stored in a database for further processing.
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Optional Alerts
Trigger notifications if unsafe content or specific objects/faces are detected.
Customization
Fully
Security
High
Performance
Fast
Future Updates
Free
Total Buyers
500+
Support
Lifetime
