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AI Recycling Sorter (Conceptual Model)

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

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About this project

AI Recycling Sorter (Conceptual Model)

Objective: Design a conceptual model for an AI-powered recycling sorter using image classification.

Context: Effective waste segregation is a growing challenge in India, where improved recycling can reduce landfill pressure and environmental impact. AI-based solutions can help automate and enhance the sorting process in communities and schools.

What you'll build: You will collect or create images of various waste items, label them as "recyclable" or "non-recyclable," and use Teachable Machine to train a simple image sorting model. The project culminates in presenting your findings visually through posters or slides, demonstrating the model's potential and limitations.

Deliverables: A conceptual AI model demonstration with annotated images and a presentation summarizing the process and results.

Milestones

1. Collect or draw images of items (plastic, food, paper, etc.)

5 marks 2d

Collect or draw at least 10 clear images representing different waste items, including plastic, food, paper, and other materials. Submit these images in a labeled folder, ensuring each file name specifies the item type. Done means your dataset covers a variety of waste categories and is ready for sorting.

2. Sort into â€œrecyclableâ€ vs â€œnon-recyclableâ€

5 marks 2d

Sort your collected images into two folders: 'recyclable' and 'non-recyclable.' Document your sorting criteria in a brief text file. Done means each image is correctly categorized based on local recycling guidelines, and your reasoning is clearly explained.

3. Use Teachable Machine to train the model

5 marks 2d

Upload your sorted images to Teachable Machine and train a classification model to distinguish between recyclable and non-recyclable items. Submit screenshots of your training process and the final model accuracy. Done means the model is trained and results are documented.

4. Present findings with posters or slides

5 marks 2d

Create a poster or slide deck summarizing your process, model results, and key findings. Include visuals of your dataset, sorting method, and Teachable Machine outputs. Done means your presentation clearly communicates your workflow and insights, suitable for sharing with peers.

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Upcoming sessions

Session	Window	Enrolled
AI Recycling Sorter (Conceptual Model)	11 Jun 2026 to 10 Jun 2028	0

Skills you'll learn

Image sorting and labelingdata-start="4212" data-end="4231">Critical thinkingdata-start="4234" data-end="4255">Presentation skills

Prerequisites

Awareness of recycling types Internet/device access for image collection

Available mentors

Priyang Kumar

Free

You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

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AICTE-aligned

Certificate of Project Completion

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AI Recycling Sorter (Conceptual Model)

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You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

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AI Recycling Sorter (Conceptual Model)

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