Assessfy Foundation Projects Lab Beginner 5 milestones 100 marks

Build a Simple Face Detection Photo App

Discipline: AI & Machine Learning Level: Foundation Industry: AI & Data Function: Engineering Team: up to 3 Assessment: 5 milestones (100 marks)

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

5
Milestones
0
Available mentors
0
Enrolled students
6
Core skills
About this project

What you'll build: You'll create a basic photo app that can detect faces in images using OpenCV. The app will let you upload a photo and automatically highlight any faces it finds.

Why it's a good starter: This project is beginner-friendly and focuses on one clear skill-face detection. You'll use real-world tools but in a manageable, step-by-step way, so you won't get lost or overwhelmed.

What you'll learn: You'll practice coding, learn how to use OpenCV for image processing, and discover how machine learning can be applied to simple, useful tasks.

Milestones
1. Setup & Project Plan
10 marks 5d
Submit a short plan (one page) outlining what your app will do. Install Python and OpenCV, and provide a screenshot showing your environment is ready.
2. Build: Load & Display Images, Basic Face Detection
35 marks 10d
Submit code that loads an image and detects faces using OpenCV's built-in methods. Include sample output with highlighted faces.
3. Build: App Features & Improvements
30 marks 10d
Add features: Let users upload their own photos, annotate detected faces, and organize your code clearly. Submit updated code and screenshots.
4. Testing & Polish
15 marks 5d
Test your app with several images (including tricky cases). Submit a short test log and make any fixes or improvements based on feedback.
5. Demo & Short Report
10 marks 5d
Submit a brief report (1-2 pages) and a demo video showing your app in action, explaining what you learned and any challenges you faced.
Open internships using this project -->
Skills you'll learn
AI & Machine LearningLoading and displaying images in PythonUsing OpenCV for basic image processingApplying pre-built face detection modelsDrawing shapes and annotations on imagesOrganizing code for a simple app
Tools used
Python (free)OpenCV libraryJupyter Notebook or Google ColabAny basic image viewer/editor
Prerequisites
Basic programming (Python recommended)School-level maths
Available mentors

No mentors have signed up for this project yet.

Be the first to mentor
Share
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

Build a Simple Face Detection Photo App

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.

Beginner
Build a Simple Face Detection Photo A…
Assessfy
Auto-issued on completion One-click LinkedIn add

Similar Projects you might like

Hand-picked by the recommender from your program & skill area.

Free study guides for this project

Free, self-paced guides matched to this project's prerequisite skills, knowledge & tools - brush up before you start.

Build the skills for this project

Matched to this project's skills & tools. Study free, then earn a recruiter-recognized certificate from the Assessfy Certification library.

100 marks Beginner
Sign up & enroll