Assessfy Foundation Projects Lab Beginner 5 milestones 100 marks

Build a Simple Cat vs Dog Image Classifier with Pre-Trained AI

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

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Milestones

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Core skills

About this project

What you'll build: You'll create a fun and easy-to-use program that looks at pictures and decides if they're cats or dogs. You'll use an existing AI model, so you don't need to start from scratch!

Why it's a good starter: This project uses helpful tools and clear steps, making it ideal for beginners. You'll get hands-on practice with real AI without complicated coding or math.

What you'll learn: You'll discover how to use AI models, handle images, and make predictions. By the end, you'll understand the basics of AI image classification and how to build your own simple apps.

Milestones

1. Setup & Project Plan

10 marks 5d

Submit a short plan outlining your approach and goals. Set up your Python environment (Jupyter/Colab) and ensure you can run basic code. What done looks like: A project notebook with your plan and proof of working setup.

2. Importing Data & Pre-Trained Model

30 marks 10d

Submit code and screenshots showing you imported the cat/dog dataset and loaded a pre-trained model (like MobileNet or VGG). What done looks like: Data loaded and model ready to use in your notebook.

3. Making Predictions & Basic Classification

30 marks 10d

Submit results of using the pre-trained model to classify images as cats or dogs. What done looks like: Code runs, outputs predicted labels, and shows a few sample results.

4. Testing & Polishing the Classifier

20 marks 7d

Submit a summary with accuracy scores and any improvements (like clearer outputs or a simple user interface). What done looks like: Model tested on new images, results are presented clearly.

5. Demo & Short Report

10 marks 5d

Submit a brief report (1-2 pages) and demo screenshots showing your classifier in action. What done looks like: Explanation of steps, results, and what you learned, plus demo images.

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Skills you'll learn

AI & Machine LearningUsing pre-trained AI modelsLoading and preparing image dataMaking predictions with AIBasic Python programmingEvaluating model performance

Tools used

PythonJupyter Notebook or Google ColabKeras or TensorFlowFree cat/dog image dataset (e.g. Kaggle)

Prerequisites

Basic programming (Python preferred)School-level maths (simple numbers and logic)Interest in working with images

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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.

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You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

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