CBSE Class X Artificial Intelligence Project Guide 2025-26

Published on September 21, 2025 by @mritxperts

The CBSE Class X Artificial Intelligence subject (Subject Code 417) requires students to complete a Project Work / Field Visit / Student Portfolio under Part D in session 2025-26. This component carries 15 marks, including 10 marks for the project (or activity) and 5 marks for viva voce. (CBSE Academic)

This guide will explain in clear, simple language what students and teachers need to do to prepare the final project as per CBSE rules for 2025-26.

Download-CBSE Class X Artificial Intelligence Project Report (2025-26)

What Is Required

Students have to pick one of the following:

AI Project Work (most schools prefer this because it allows application of concepts)
Field Visit related to AI
Student Portfolio (collection of AI-based activities, continued from earlier grades) (CBSE Academic)

Marks Distribution

Project Work / Field Visit / Portfolio → 10 marks (CBSE Academic)
Viva Voce → 5 marks (CBSE Academic)
Total → 15 marks

Download-CBSE Class X Artificial Intelligence Project Report (2025-26)

How to Do the AI Project (Step by Step)

According to the 2025-26 curriculum, a good project must follow the AI Project Cycle and should relate to ethical frameworks and Sustainable Development Goals (SDGs). (CBSE Academic)

Below are the stages you should include in your project:

Step One: Problem Scoping

Define clearly the problem you want to solve.
Explain why it matters.
Connect it to at least one SDG (for example, Quality Education, Good Health, Climate Action).
Also consider ethical concerns from the start: fairness, bias, privacy. (CBSE Academic)

Step Two: Data Acquisition

Identify what kind of data you need.
Find reliable sources. If needed, you may collect your own data.
Ensure data is sufficient and relevant.

Step Three: Data Exploration

Analyze and visualize the data.
Use graphs, charts, and basic statistics (mean, median, mode, etc.).
Use Python tools like Pandas, NumPy, Matplotlib.

Step Four: Modelling

Apply AI / ML tools suitable for the problem. For example: decision trees, supervised learning, or simple models.
Use available platforms or basic Python implementations.
Keep it simple enough to show understanding.

Step Five: Evaluation

Test how well your model works (accuracy, precision, recall, etc.).
Point out what went well and what didn’t.
Discuss limitations (data size, bias, etc.) and ethical implications.

Download-CBSE Class X Artificial Intelligence Project Report (2025-26)

Sample Project Ideas for Session 2025-26

Here are some ideas that align with the updated syllabus:

Predicting student performance (marks, grades) based on factors like study time, attendance, etc. (SDG: Quality Education)
Detecting fire / smoke in images or other environment safety-related image-based model (SDG: Climate Action, Safety)
Sentiment analysis from student feedback or social media posts (Natural Language Processing)
Chatbot for answering common questions in school or community setting
Classification of waste images (recycling awareness)

These can be scaled up or down depending on resources and skill level.

Download-CBSE Class X Artificial Intelligence Project Report (2025-26)

Project Report File Format

Your project should be documented properly. Here’s a format to follow, as per the 2025-26 guidelines:

Title of the project | Download-CBSE Class X Artificial Intelligence Project Report (2025-26)
Problem Statement – What problem you are addressing and why
Objective(s) – What you aim to achieve, including SDG link and ethical framework if relevant
Dataset Details – Source, kind of data, how acquired
Implementation of the AI Project Cycle, with these subsections:
- Problem Scoping
- Data Acquisition
- Data Exploration
- Modelling
- Evaluation
Ethical Considerations – Bias, fairness, privacy, access
Screenshots / Code Snippets – some important parts of your implementation
Results & Discussion – What results you got, what they mean
Limitations / Future Scope – What you could not do, and how to improve
Conclusion – Summarize what the project achieved
Bibliography / References – Data sources, tools used, and other reading materials

Viva Voce Preparation

In the viva (5 marks), students should be ready to answer questions like:

What problem did you choose, and why?
Which Sustainable Development Goal and ethical framework does your project connect with?
Which data did you use and how did you get it?
Which modelling technique did you apply, and why did you choose it?
What are the results, and what challenges did you face?
How would you improve the project if you had more time or resources?

Portfolio Option

If the school or teacher opts for the portfolio instead of a full project:

Maintain a record of at least five AI activities during Class X (and previous, if needed).
Include certificates or proof of participation (e.g. hackathons, workshops, exhibitions).
Document each activity: what you did, what you learned, any small code or outputs.

Field Visit Option

If choosing a field visit:

Attend an AI-related event: could be an AI bootcamp, workshop, exhibition, or virtual tour of an organization using AI.
After the visit, write a field visit report describing:
• What you observed about AI applications in real life
• How AI is used by that organization or in that event
• What ethical, social, or environmental issues you noticed
• How what you saw links to your coursework or SDGs

Final Checklist

Before submitting, ensure you have done all the following:

Project linked to at least one SDG and ethical framework
All five stages of AI Project Cycle included clearly
Report file is neatly written with required sections
Code / demo / screenshots included
Viva questions are practiced and you can explain every part of the project
If portfolio or field visit was chosen, documentation is complete

Conclusion

For the session 2025-26, the AI project is more than just coding. It is about thinking critically, using data responsibly, understanding ethical implications, and linking AI with real-life challenges and Sustainable Development Goals. When students do the project sincerely and follow these steps, they not only satisfy CBSE’s requirements but also build strong skills for the future.