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Class XII AI Capstone Project Guide | CBSE-IBM Cookbook | Sub Code 843

Class XII AI Capstone Project Guide | CBSE-IBM Cookbook | AI Logic School
ailogicschool.blogspot.com · CBSE 2025–26

Class XII AI
Capstone Project Guide

Based on CBSE-IBM AI Projects Cookbook · SDG-aligned projects · 20+ topic ideas · Step-by-step documentation · 3-minute video guide · Subject Code 843

25 Marks
Groups of 3–5
3-Min Video
SDG Aligned
Python or Orange
📗
CBSE-IBM AI Projects Cookbook — Official Reference
All capstone projects must follow the guidelines in the official CBSE-IBM AI Projects Cookbook for Classes XI & XII (2025–26). This cookbook, developed with IBM and 1M1B, provides project templates, team roles, documentation format and sample projects. Your project MUST reference Page 2 of this document.
📥 Download AI Projects Cookbook (Official PDF) ↗
📊
Capstone Project Marks Distribution
Part C — 50 marks total for practical work
ComponentDetailsMarks
Capstone ProjectWorking AI project aligned to an SDG15
Project DocumentationWritten report following Cookbook format6
Project VideoExactly 3 minutes — 6 specific components4
Practical FilePython programs + Orange + Data Story10
Lab TestWritten practical test in school lab10
Viva VoceOral questions on project and practicals5
Total Practical Marks50
📋
Mandatory Project Rules — CBSE Guidelines
All rules are compulsory — no exceptions
👥
Group Size
Work in groups — not individually
3 to 5 students
🌍
SDG Alignment
Project must address one or more UN Sustainable Development Goals
Mandatory
🎬
Video Duration
Project video must be exactly this duration — not more, not less
Exactly 3 minutes
💻
Tools Allowed
Use Python OR no-code/low-code platforms
Python or Orange
📝
Documentation
Must follow CBSE-IBM Cookbook format exactly (Page 2)
Cookbook Page 2
🏫
Local Problem
Identify an issue in your school or community that AI can solve
Real-world impact
🌍
17 UN Sustainable Development Goals (SDGs)
Your project must be aligned to one or more of these goals
SDG 1
No Poverty
SDG 2
Zero Hunger
SDG 3
Good Health
SDG 4
Quality Education
SDG 5
Gender Equality
SDG 6
Clean Water
SDG 7
Clean Energy
SDG 8
Decent Work
SDG 9
Industry
SDG 10
Reduced Inequality
SDG 11
Sustainable Cities
SDG 12
Responsible Consumption
SDG 13
Climate Action
SDG 14
Life Below Water
SDG 15
Life on Land
SDG 16
Peace & Justice
SDG 17
Partnerships
💡 Most popular SDG choices for AI projects: SDG 3 (Health), SDG 4 (Education), SDG 11 (Smart Cities), SDG 13 (Climate), SDG 2 (Agriculture/Hunger) — these have abundant datasets available online for students.
👥
Team Roles (from AI Projects Cookbook)
Assign one role to each team member
🎯
Project Manager
Coordinates the team, manages timelines, ensures documentation is complete, leads viva presentation
🔬
Data Scientist
Collects, cleans and analyses data. Builds and trains the AI/ML model. Handles Python or Orange tool
🎨
Designer / Presenter
Creates visualizations, designs the project poster, records and edits the 3-minute project video
📝
Documentation Lead
Writes the full project report following Cookbook format, maintains the project logbook
🔍
Domain Expert
Researches the problem domain (health, agriculture, etc.), finds datasets, validates results
💡
20+ Capstone Project Ideas — SDG Aligned
All ideas are appropriate for Class 12 AI students using Python or Orange
🏥 SDG 3 — Good Health and Well-being
SDG 3 · Health
Disease Prediction using Patient Symptoms
Train a classification model to predict common diseases (diabetes, heart disease) from patient symptoms using a public health dataset.
Python Orange Classification
SDG 3 · Health
Mood Tracker App with AI Analysis
Build a mood tracking application that uses NLP sentiment analysis to detect emotional patterns and suggest mental wellness tips.
Python NLP Sentiment
SDG 3 · Health
Medicinal Plant Identification
Use computer vision and image classification to identify medicinal plants from photos — helping rural communities access herbal medicine knowledge.
Python CV Orange
📚 SDG 4 — Quality Education
SDG 4 · Education
Student Performance Predictor
Predict student exam scores based on study hours, attendance, and previous grades using linear regression. Help teachers identify at-risk students early.
Python Regression Pandas
SDG 4 · Education
AI Chatbot for CBSE Doubt Solving
Build a Gemini API-powered chatbot that answers CBSE AI subject questions. Students can ask doubts and get instant, accurate responses.
Python Gemini API Gen AI
SDG 4 · Education
School Dropout Prediction System
Using MDMS and enrollment data, build a model to predict which schools have high dropout risk — helping government allocate resources effectively.
Orange Classification Data Story
🏙️ SDG 11 — Sustainable Cities and Communities
SDG 11 · Cities
Traffic Congestion Pattern Analysis
Analyse traffic data from your city to find peak congestion patterns and predict traffic flow using time-series analysis and visualizations.
Python Pandas Charts
SDG 11 · Cities
Waste Classification using Computer Vision
Train an image classification model to automatically categorise waste as recyclable, organic, or hazardous — supporting smart waste management.
OpenCV Orange CV SDG 11+12
SDG 11 · Cities
Air Quality Index (AQI) Predictor
Using Hyderabad/India AQI historical data, predict next-day air quality and alert citizens using a simple Python dashboard.
Python Regression Matplotlib
🌾 SDG 2 — Zero Hunger (Agriculture)
SDG 2 · Agriculture
Crop Disease Detection
Use computer vision to detect plant diseases from leaf images. Farmers photograph leaves — AI identifies the disease and suggests treatment.
Orange CV Python Image AI
SDG 2 · Agriculture
Crop Yield Prediction
Predict expected crop yield based on rainfall, temperature, soil type, and fertiliser usage. Helps farmers plan better and reduce food waste.
Orange Regression Python
SDG 2 · Agriculture
Soil Quality Analyser
Classify soil samples as suitable or unsuitable for different crops based on pH, nitrogen, phosphorus and potassium levels using classification algorithms.
Orange kNN Classification
🌡️ SDG 13 — Climate Action
SDG 13 · Climate
Carbon Footprint Calculator
Build a Python tool that calculates a student's/household's carbon footprint based on travel, electricity, and food habits, with AI suggestions to reduce it.
Python Gemini API Green AI
SDG 13 · Climate
Weather Pattern Analysis & Flood Prediction
Analyse historical rainfall data for Hyderabad/Telangana to identify flood-prone periods and build an early warning prediction model.
Orange Python Data Story
SDG 13 · Climate
Solar Energy Potential Predictor
Predict solar panel energy output based on location, cloud cover, and temperature. Helps households decide if solar installation is viable.
Python Regression Matplotlib
🎬
3-Minute Video — Exact Structure (CBSE Mandatory)
Your video must cover all 6 components in exactly 3 minutes
0:00–0:20
a. Problem Statement
Clearly state: What problem exists in your community? Who is affected? How serious is it? Give one local example.
0:20–0:40
b. SDG Alignment
Which UN Sustainable Development Goal does your project address? Show the SDG logo. Explain the connection clearly in 2–3 sentences.
0:40–1:10
c. AI Concept / Algorithm Used
Explain which AI technique you used — Classification, Regression, Neural Network, NLP, Computer Vision, Generative AI. Show a simple diagram of your model architecture.
1:10–2:10
d. Working of the Project
Live demonstration or screen recording of your project working. Show: input data → model processing → output/prediction. This is the longest section — make it clear and impressive.
2:10–2:45
e. Conclusion
What did you achieve? What are the accuracy/results? What are limitations? What would you improve with more time/data? Real-world impact of your solution.
2:45–3:00
f. Acknowledgement
Thank your AI teacher, school, and teammates by name. Mention CBSE-IBM AI Curriculum. Keep this brief — 10–15 seconds only.
📌 Video Tips: Record in a quiet room. All team members should appear. Use screen recording (OBS Studio — free) for the demo section. Add your school name and class at the beginning. Save as MP4 format.
📄
Project Documentation Format (Cookbook Page 2)
Your written report must include all these sections
01
Title Page — Project name, team members, class, school, date
02
Certificate — Teacher signature, school stamp
03
Acknowledgement — Thank teacher, school, CBSE-IBM
04
Abstract — 150-word summary of the entire project
05
Problem Statement — What problem, who is affected, why AI?
06
SDG Alignment — Which SDG(s) and how your project addresses it
07
Dataset Description — Source, size, features, how collected/downloaded
08
AI Methodology — Algorithm used, why chosen, model architecture
09
Implementation — Code snippets or Orange workflow screenshots
10
Results & Evaluation — Accuracy, Confusion Matrix, MSE/RMSE, charts
11
Data Story — Visualizations with Freytag's Pyramid narrative
12
Conclusion — Findings, limitations, future scope
13
References — Dataset sources, websites, books cited
14
Team Contribution — Each member's specific role and work done
✅ Where to find the official format: Download the AI Projects Cookbook PDF from CBSE Academic website → Books section → look for "843 AI Projects Cookbook XI to XII" → follow Page 2 documentation guidelines exactly.
🗄️
Where to Find Free Datasets for Your Project
All websites below provide free datasets for student projects
🌐
Kaggle
Best source for student projects. Thousands of free datasets on health, agriculture, climate, education
kaggle.com/datasets
🏛️
India Government Data
Official Indian government datasets — census, agriculture, health, education statistics
data.gov.in
🔬
UCI ML Repository
Classic machine learning datasets — Iris, Diabetes, Heart Disease, Housing prices
archive.ics.uci.edu
📊
NITI Aayog
India SDG index data, development indicators, state-wise statistics
niti.gov.in
🌍
UN Data
SDG indicator data for all countries — perfect for aligning your project with SDG goals
data.un.org
🐍
Scikit-learn Datasets
Built-in datasets in Python — Iris, Boston Housing, Digits, Wine. No download needed
sklearn.datasets

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