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AI Safety Scanner – Online Safety Simulation

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

4
Milestones
1
Available mentors
0
Enrolled students
3
Core skills
About this project

AI Safety Scanner – Online Safety Simulation

Objective: Develop an AI-based simulation to identify safe and unsafe online content.

Context: With rising internet use among Indian youth, digital citizenship and online safety are critical skills to prevent cyberbullying and misinformation.

What you'll build: You will create examples of digital content, then use Teachable Machine or similar tools to train an AI classifier to sort safe and unsafe items. The project includes a presentation of results and a written reflection on the strengths and limitations of using AI for cyber safety.

Deliverables: A trained classifier, sample content, a results presentation, and a reflection report.

Milestones
1. Create examples of safe/unsafe digital content
5 marks 2d
Collect or generate at least six digital content samples (e.g., social media posts, messages, images), clearly labeling each as 'safe' or 'unsafe' based on specific online safety criteria. Submit these examples in a table or document, ensuring each entry includes a brief justification for its classification.
2. Train the classifier (or simulate sorting logic)
5 marks 2d
Use your labeled examples to train a simple classifier or manually simulate sorting logic that distinguishes safe from unsafe content. Submit the code or sorting procedure, along with a confusion matrix or summary showing how your system performed on the provided examples.
3. Present results and discuss how AI can help in cyber safety
5 marks 2d
Present your classifier's results, including accuracy and any misclassifications, in a concise report or slide deck. Discuss specific ways AI tools like your classifier can support cyber safety, referencing your findings and real-world implications for online platforms.
4. Write reflection on pros and cons of AI in monitoring
5 marks 2d
Write a short reflection (150-200 words) analyzing the advantages and limitations of using AI for monitoring digital content. Address issues such as bias, privacy, and effectiveness, supporting your points with insights from your project and relevant examples.
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Upcoming sessions
SessionWindowEnrolled
AI Safety Scanner – Online Safety Simulation 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
data-start="2931" data-end="2965">Awareness of digital citizenshipdata-start="2968" data-end="3015">Image/text classification (Teachable Machine)data-start="3018" data-end="3039">Presentation skills
Prerequisites
Basic understanding of internet safety rules Access to sample screenshots or text snippets
Available mentors
Priyang Kumar
Free
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You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.

Certificate of Project Completion

This is to certify that

has successfully completed the project

AI Safety Scanner – Online Safety Simulation

Auto-issued on completion QR-verifiable
You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.

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AI Safety Scanner – Online Safety Sim…
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