ProSyllabus Journal CBSE Class 11 Annual Assessment Complete Summary and Solutions for Emerging Trends – NCERT Class XI Informatics Practices, Chapter 2 – Explanation, Questions, Answers Detailed summary and explanation of Chapter 2 'Emerging Trends' from the NCERT Informatics Practices textbook for Class XI, covering topics like artificial intelligence (AI) and machine learning, natural language processing (NLP), immersive experiences including virtual and augmented reality, robotics and its applications, big data and its characteristics, data analytics, Internet of Things (IoT) and Web of Things (WoT), smart cities, cloud computing models (IaaS, PaaS, SaaS), grid computing, and blockchain technology. The chapter also includes insights into applications and challenges of these technologies along with exercises and activities for students.
Updated 2 weeks ago NCERT · Class XI · Informatics Practices · Chapter 2 · Emerging Trends · Artificial Intelligence · Machine Learning · NLP · Virtual Reality · Augmented Reality · Robotics · Big Data · IoT · Cloud Computing · Grid Computing · Blockchain · Summary · Questions · Answers · Explanation
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Emerging Trends - Class 11 Informatics Practices Chapter 2 Ultimate Study Guide 2025
Full Chapter Summary & Detailed Notes
Key Definitions & Terms
Text Book Questions & Answers
Key Concepts
Historical Perspectives
Solved Examples
Interactive Quiz (10 Q)
Quick Revision Notes & Mnemonics
Key Terms & Processes
Processes Step-by-Step
Full Chapter Summary & Detailed Notes - Emerging Trends Class 11 NCERT
Overview & Key Concepts
Chapter Goal : Explore state-of-the-art technologies like AI, Big Data, IoT, Cloud, Grid, Blockchain impacting digital economy. Exam Focus: Definitions, characteristics (e.g., Big Data 5Vs), services (Cloud models), applications; 2025 Updates: AI ethics, blockchain in governance. Fun Fact: Dijkstra quote on CS. Core Idea: Trends simulate human intelligence, handle massive data, connect devices. Real-World: ChatGPT (AI), smart homes (IoT).Wider Scope : From AI subsystems to decentralized ledgers; sources: Figures (2.1 NLP, 2.9 Big Data Vs, 2.12 Cloud models), activities (NLP aids, robots in medicine), think/reflect (drones in calamity).Expanded Content : Include modern aspects like generative AI, edge computing in IoT; point-wise for recall; add 2025 relevance like Web3 blockchains.
Introduction to Emerging Trends
Definition : State-of-the-art tech gaining popularity; some fade, others persist (e.g., AI vs failed gadgets).Impact : Transform digital economy/societies; daily new intros, focus on prosperous ones.Topics Covered : AI, Big Data, IoT, Cloud/Grid Computing, Blockchains.Example : Smartphone maps (AI traffic analysis).Expanded : Evidence: User adoption; debates: Hype vs reality; real: Post-2020 IoT boom.
Conceptual Diagram: Chapter Structure (In-Text Box)
Bullets: AI → Big Data → IoT → Cloud → Grid → Blockchain. Visualizes progression from intelligence to distributed systems.
Why This Guide Stands Out
Comprehensive: All trends point-wise, figure integrations; 2025 with ethics (e.g., AI bias), analyzed for digital society.
Artificial Intelligence (AI)
Definition : Simulate human intelligence in machines (learning, decisions); e.g., Siri/Alexa.Subsystems : ML (algorithms learn from data, train/test models); NLP (voice search, translation, text-to-speech; Fig 2.1).Immersive Experiences : VR (3D simulated world, headsets; Fig 2.3 gaming/training); AR (overlay digital on real; Fig 2.4 location apps).Robotics : Programmable machines (sensors key); types: Wheeled/legged/humanoids/drones; ex: Mars Rover (Fig 2.5), Sophia (Fig 2.6), drones (Fig 2.7 delivery).Knowledge Base : Facts/assumptions for AI decisions.Think & Reflect : NLP for disabled (voice aids); robots in medicine (surgery).Expanded : Evidence: Auto-tagging; debates: Job loss; real: VR therapy 2025.
Big Data
Definition : Enormous voluminous/unstructured data (2.5 quintillion bytes/day; Fig 2.8 sources: social/email).Characteristics (5Vs; Fig 2.9) : Volume (size), Velocity (generation rate), Variety (structured/unstructured), Veracity (trustworthiness), Value (hidden patterns).Challenges : Integration/storage/analysis; traditional tools insufficient.Data Analytics : Examine sets for conclusions; tools: Pandas (Python lib).Think & Reflect : Digital activities contribute (posts/tweets); drones in calamity (mapping).Expanded : Evidence: Noisy data risks; debates: Privacy; real: Analytics in e-commerce 2025.
Internet of Things (IoT)
Definition : Network of embedded devices communicating (Fig 2.10: bulbs/fans/smartphones).WoT : Web services for unified interface (one app for all devices; smart homes/cities).Sensors : Detect environment (accelerometer/gyro in phones); smart sensors process input.Smart Cities (Fig 2.11) : IoT/WoT for resource mgmt (sensors in bridges/tunnels/buildings for alerts).Activity : List IoT devices (smartwatch/refrigerator); VPS (AR navigation utilities).Think & Reflect : Transform city ideas (traffic sensors).Expanded : Evidence: Remote control; debates: Security; real: 5G IoT 2025.
Cloud Computing
Definition : On-demand services over Internet (hardware/software; pay-per-use like electricity).Services (Fig 2.12) : IaaS (infra like VMs/storage), PaaS (platform for apps, e.g., pre-config Apache), SaaS (apps like Google Docs).Benefits : Cost-effective, scalable; GI Cloud (MeghRaj).Activity : Data centers in India (e.g., AWS Mumbai - storage).Expanded : Evidence: No upfront investment; debates: Vendor lock-in; real: Hybrid clouds 2025.
Grid Computing
Definition : Network of dispersed resources as virtual supercomputer (Fig 2.13: shared nodes).Types : Data grid (distributed access), CPU grid (parallel tasks).Vs Cloud : Application-specific vs service-oriented; middleware: Globus Toolkit.Think & Reflect : Assistive trends for disabilities (AI voice, IoT wearables).Expanded : Evidence: Reuse idle resources; debates: Scalability; real: Scientific simulations 2025.
Blockchains
Definition : Decentralized shared ledger (blocks chained; Fig 2.14: transaction broadcast/verify).Features : Append-only, secure (all nodes authenticate); vs centralized (hack risk).Applications : Crypto, healthcare (sharing), land records, voting; transparency in governance.Think & Reflect : Other areas (supply chain, education certs).Expanded : Evidence: No single alter; debates: Energy use; real: NFT/Web3 2025.
Exam Activities
Explore NLP/robotics (Act 2.1/2.2); IoT devices/VPS (Act 2.3/2.4); data centers (Act 2.5).
Summary Key Points
Trends: AI (ML/NLP/VR/AR/Robotics), Big Data (5Vs/Analytics), IoT (WoT/Sensors/Smart Cities), Cloud (IaaS/PaaS/SaaS), Grid (virtual supercomputer), Blockchain (decentralized ledger).
Impact: Efficiency, innovation; challenges: Security, veracity.
Project & Group Ideas
Group IoT model (smart home); individual blockchain voting sim.
Debate: AI ethics vs benefits.
Ethical role-play: Big Data privacy.
Key Definitions & Terms - Complete Glossary
All terms from chapter; detailed with examples, relevance. Expanded: 30+ terms grouped by subtopic; added advanced like "Generative AI", "Edge Computing" for depth/easy flashcards. Table overflow fixed with word-break.
Artificial Intelligence (AI)
Simulate human intelligence in machines. Ex: Siri. Relevance: Cognitive functions.
Machine Learning (ML)
AI subsystem: Learn from data without programming. Ex: Predictions. Relevance: Models train/test.
Natural Language Processing (NLP)
Human-computer interaction via language. Ex: Voice search (Fig 2.1). Relevance: Translation/spell-check.
Virtual Reality (VR)
3D simulated environment. Ex: Headsets (Fig 2.3). Relevance: Immersive training.
Augmented Reality (AR)
Digital overlay on real world. Ex: Location apps (Fig 2.4). Relevance: Interactive info.
Robotics
Design/operation of programmable machines. Ex: Sophia humanoid (Fig 2.6). Relevance: Automation.
Big Data
Enormous voluminous data. Ex: Social posts (Fig 2.8). Relevance: Beyond traditional tools.
Volume (Big Data V)
Enormous size. Ex: Quintillion bytes/day. Relevance: Processing challenge.
Veracity (Big Data V)
Trustworthiness. Ex: Noisy data. Relevance: Avoid wrong results.
Data Analytics
Examine sets for conclusions. Ex: Pandas. Relevance: Business decisions.
Internet of Things (IoT)
Network of communicating devices. Ex: Smart fridge (Fig 2.10). Relevance: Collaboration.
Web of Things (WoT)
Web services for device integration. Ex: Unified app. Relevance: Smart cities.
Sensor
Detects physical input. Ex: Accelerometer. Relevance: IoT evolution.
Smart City
IoT-managed urban resources. Ex: Bridge sensors (Fig 2.11). Relevance: Sustainability.
Cloud Computing
On-demand Internet services. Ex: Google Drive. Relevance: Pay-per-use.
IaaS
Infrastructure as Service. Ex: Virtual machines. Relevance: Hardware outsourcing.
SaaS
Software as Service. Ex: Office 365. Relevance: No install.
Grid Computing
Dispersed resources as supercomputer. Ex: Shared nodes (Fig 2.13). Relevance: Parallel processing.
Blockchain
Decentralized shared ledger. Ex: Crypto (Fig 2.14). Relevance: Secure transactions.
Generative AI
Advanced (creates content). Ex: ChatGPT. Relevance: 2025 trend.
Edge Computing
Advanced IoT processing. Ex: Local data. Relevance: Low latency.
Knowledge Base
AI facts store. Ex: Decision rules. Relevance: Learning.
Humanoid
Human-like robot. Ex: Sophia. Relevance: Gestures.
Drone
Unmanned aircraft. Ex: Delivery (Fig 2.7). Relevance: Monitoring.
Velocity (Big Data V)
Generation rate. Ex: Tweets/sec. Relevance: Exponential.
Variety (Big Data V)
Data types. Ex: Text/videos. Relevance: Unstructured.
Value (Big Data V)
Hidden patterns. Ex: Business insights. Relevance: ROI.
PaaS
Platform as Service. Ex: App deployment. Relevance: No config.
MeghRaj
GI Cloud. Ex: Govt services. Relevance: India initiative.
Globus Toolkit
Grid middleware. Ex: Resource mgmt. Relevance: Open source.
Append-Only Ledger
Blockchain feature. Ex: No alterations. Relevance: Security.
Smart Sensor
Processes input. Ex: Gyroscope. Relevance: IoT.
Machine Translation
NLP app. Ex: Google Translate. Relevance: Multilingual.
Driving Simulator
VR training. Ex: Fig 2.2. Relevance: Immersive.
Mars Rover
Robotic mission. Ex: NASA (Fig 2.5). Relevance: Exploration.
Quintillion Bytes
Big Data scale. Ex: Daily creation. Relevance: Volume.
VPS
Visual Positioning System. Ex: AR nav. Relevance: Indoor GPS.
Data Grid
Grid type. Ex: Distributed access. Relevance: Multi-user.
CPU Grid
Grid type. Ex: Parallel subtasks. Relevance: Processing.
Tip: Group by trend; examples for recall. Depth: Debates (e.g., AI ethics). Errors: Confuse VR/AR. Interlinks: To Ch1 hardware. Advanced: Generative AI. Real-Life: Blockchain voting. Graphs: 5Vs. Coherent: Evidence → Interpretation. For easy learning: Flashcard per term with example.
Text Book Questions & Answers - NCERT Exercises
Direct from chapter exercises (pages 29-30). Answers based on chapter content, point-wise for exams.
Short Answer Questions
1. List some of the cloud-based services that you are using at present.
2. What do you understand by the Internet of Things? List some of its potential applications.
Answer:
IoT: Network of devices with embedded hardware/software for data exchange (Fig 2.10).
Applications: Smart homes (remote AC), healthcare monitoring, traffic management.
3. Write a short note on the following: a) Cloud computing b) Big data and its characteristics
Medium Answer Questions
4. Explain the following along with their applications. a) Artificial Intelligence b) Machine Learning
5. Differentiate between cloud computing and grid computing with suitable examples.
Answer:
Cloud: Service-oriented (e.g., AWS IaaS).Grid: Application-specific virtual supercomputer (e.g., scientific simulations).
Long Answer Questions
6. Justify the following statement- ‘Storage of data is cost effective and time saving in cloud computing.’
7. What is on-demand service? How it is provided in cloud computing?
8. Write examples of the following: a) Government provided cloud computing platform b) Large scale private cloud service providers and the services they provide
9. A company interested in cloud computing is looking for a provider who offers a set of basic services such as virtual server provisioning and on-demand storage that can be combined into a platform for deploying and running customised applications. What type of cloud computing model fits these requirements? a) PaaS b) SaaS c) IaaS
10. Which is not one of the features of IoT devices? a) Remotely controllable b) Programmable c) Can turn themselves off if necessary d) All of the above
11. If Government plans to make a smart school by applying IoT concepts, how can each of the following be implemented... (a-f)
12. Five friends plan to try a startup... How can they avail the benefits of cloud services...?
13. Governments provide various scholarships... Prepare a report on how blockchain...?
14. How IoT and WoT are related?
15. Match the following: (Column A to B)
Answer:
Reminder medication → Smart Health
SMS forgot lock → Home Automation
SMS parking → Smart Parking
Turn off TV from watch → Smart Wearable
Tip: Practice applications (Q4); matching (Q15). Full marks: Point-wise, figures refs.
Key Concepts - In-Depth Exploration
Core ideas with examples, pitfalls, interlinks. Expanded: All concepts with steps/examples/pitfalls for easy learning. Depth: Debates, analysis. Table overflow fixed.
AI Simulation
Steps: 1. Knowledge base, 2. Learn/decide. Ex: Auto-tag. Pitfall: Bias. Interlink: ML. Depth: Human-like.
ML Training
Steps: 1. Train data, 2. Test accuracy. Ex: Predictions. Pitfall: Overfit. Interlink: NLP. Depth: Statistical.
Big Data 5Vs
Steps: Assess VVVVV. Ex: Social data. Pitfall: Ignore value. Interlink: Analytics. Depth: Challenges.
IoT Communication
Steps: 1. Embed connect, 2. Exchange data. Ex: Smart home. Pitfall: Security. Interlink: Sensors. Depth: WoT.
Cloud Models
Steps: IaaS infra → PaaS platform → SaaS app. Ex: AWS. Pitfall: Downtime. Interlink: Grid. Depth: Scalable.
Blockchain Verification
Steps: 1. Broadcast, 2. Nodes verify/add. Ex: Transaction (Fig 2.14). Pitfall: Scalability. Interlink: Decentralized. Depth: Security.
VR/AR Immersion
Steps: 1. Simulate/overlay, 2. Interact. Ex: Training. Pitfall: Motion sickness. Interlink: Robotics. Depth: Senses.
Robotics Automation
Steps: 1. Program sensors, 2. Execute tasks. Ex: Drone. Pitfall: Errors. Interlink: AI. Depth: Interdisciplinary.
Sensors in IoT
Steps: 1. Detect, 2. Process. Ex: Gyro. Pitfall: Interference. Interlink: Smart cities. Depth: Intelligent systems.
Grid Parallelism
Steps: 1. Divide tasks, 2. Nodes process. Ex: Simulations. Pitfall: Coordination. Interlink: Cloud. Depth: Virtual super.
NLP Interaction
Steps: 1. Speech-to-text, 2. Respond. Ex: Siri. Pitfall: Accents. Interlink: AI. Depth: Natural lang.
Data Analytics
Steps: 1. Examine, 2. Conclude. Ex: Pandas. Pitfall: Wrong tools. Interlink: Big Data. Depth: Informed decisions.
Smart City Mgmt
Steps: 1. Sensors detect, 2. Alert optimize. Ex: Tunnel (Fig 2.11). Pitfall: Integration. Interlink: IoT. Depth: Sustainable.
WoT Integration
Steps: 1. Web services, 2. Unified control. Ex: One interface. Pitfall: Compatibility. Interlink: IoT. Depth: Efficient.
Advanced: Ethics checklists, V assessment. Pitfalls: Veracity. Interlinks: To Ch3 data. Real: AI in healthcare. Depth: 14 concepts details. Examples: Real figs. Graphs: Trends. Errors: Vs mix. Tips: Steps evidence; compare tables (5Vs/Cloud).
Historical Perspectives - Detailed Guide
Evolution of trends; expanded with points; links to pioneers/debates. Added AI origins, blockchain genesis.
AI Origins (1950s)
Turing Test: Machine intelligence. Dijkstra quote: Broader CS. Depth: From theory to apps.
ML Boom (1990s)
Statistical learning. Big Data fuel (2000s). Depth: Algorithms evolve.
IoT Roots (1990s)
Kevin Ashton coin (1999). Sensors/Wireless advance. Depth: Connected world.
Cloud Emergence (2000s)
AWS launch (2006). MeghRaj India (2010s). Depth: On-demand shift.
Grid Pioneers (1990s)
Ian Foster: Middleware. Globus Toolkit. Depth: Distributed computing.
Blockchain (2008)
Satoshi: Bitcoin whitepaper. Decentralized ledgers. Depth: Crypto to governance.
Tip: Link to milestones. Depth: Reflexive evolution. Examples: Turing. Graphs: Timeline. Advanced: Post-2025 quantum AI. Easy: Bullets impacts.
Solved Examples - From Text with Simple Explanations
Expanded with evidence, calcs; focus on applications, analysis. Added 5Vs assessment, cloud model choice.
Example 1: Big Data 5Vs Assessment
Simple Explanation: Evaluate dataset.
Step 1: Volume - Check size (e.g., 1TB+).
Step 2: Velocity - Rate (e.g., real-time tweets).
Step 3: Variety - Types (text/video).
Step 4: Veracity - Clean noise.
Step 5: Value - Extract patterns.
Simple Way: VVVVV checklist.
Example 2: AI Decision Process
Simple Explanation: Knowledge base use.
Step 1: Input query (voice).
Step 2: NLP parse.
Step 3: Base match rules.
Step 4: ML predict.
Step 5: Output response.
Simple Way: Hear → Think → Speak.
Example 3: IoT Device Network
Simple Explanation: Communication setup.
Step 1: Embed sensors/connect WiFi.
Step 2: Exchange data (e.g., temp to app).
Step 3: WoT unify interface.
Step 4: Act (e.g., AC on).
Step 5: Analyze (smart city).
Simple Way: Connect → Talk → Respond.
Example 4: Cloud Service Selection
Simple Explanation: Model fit.
Step 1: Need infra? IaaS.
Step 2: Platform? PaaS.
Step 3: App? SaaS.
Step 4: Ex: Startup - PaaS deploy.
Step 5: Scale pay-per-use.
Simple Way: Build (IaaS) → Develop (PaaS) → Use (SaaS).
Example 5: Blockchain Transaction
Simple Explanation: Secure add.
Step 1: Request broadcast.
Step 2: Nodes verify.
Step 3: Add block to chain.
Step 4: Update all copies.
Step 5: Immutable record.
Simple Way: Propose → Check → Lock.
Example 6: Robotics Task Execution
Simple Explanation: Program run.
Step 1: Sensor detect (e.g., obstacle).
Step 2: AI decide path.
Step 3: Actuator move.
Step 4: Feedback loop.
Step 5: Log for learning.
Simple Way: See → Plan → Do → Adjust.
Tip: Practice self-assess; troubleshoot (e.g., veracity errors). Added for Vs, processes.
Interactive Quiz - Master Emerging Trends
2 MCQs in full sentences; 80%+ goal. Covers AI, Big Data, IoT, Cloud, etc.
Start Quiz
Quick Revision Notes & Mnemonics
Concise, easy-to-learn summaries for all subtopics. Structured in tables for quick scan: Key points, examples, mnemonics. Covers trends, characteristics, services. Bold key terms; short phrases for fast reading. Overflow fixed.
Subtopic
Key Points
Examples
Mnemonics/Tips
AI & Subsystems AI : Simulate intelligence (ML/NLP/VR/AR/Robotics).ML : Learn from data.NLP : Language interaction.Siri (AI); Predictions (ML); Voice search (NLP).
AMNVR (AI, ML, NLP, VR, Robotics). Tip: "Artificial Minds Navigate Virtual Realms".
Big Data 5Vs : Volume, Velocity, Variety, Veracity, Value.Analytics : Examine for insights (Pandas).Challenges: Unstructured/noisy. Social posts (Fig 2.8); 5Vs diagram (Fig 2.9).
VVV V V (Very Very Vast, Verified Value). Tip: "Volume Velocity Variety Veracity Value" – Daily data explosion.
IoT IoT : Device network (WoT/Sensors).Sensors : Detect/process.Smart Cities : Resource mgmt.Smart home (Fig 2.10); Bridge alerts (Fig 2.11).
IWS (IoT, WoT, Sensors). Tip: "Internet Of Things Watches Smartly".
Cloud Computing Models : IaaS (infra), PaaS (platform), SaaS (software).Benefits: Cost/time saving. MeghRaj: Govt cloud. AWS (IaaS); Google Docs (SaaS) (Fig 2.12).
IPS (IaaS, PaaS, SaaS). Tip: "Infra Platform Software" – As-a-Service ladder.
Grid & Blockchain Grid : Virtual supercomputer (data/CPU).Blockchain : Decentralized ledger (verify/add).Globus: Middleware. Simulations (Fig 2.13); Crypto (Fig 2.14).
GB (Grid Blockchain). Tip: "Grid Builds Blocks" – Shared to secure.
Overall Tip: Use AMNVR-VVVVV-IWS-IPS-GB for full scan (5 mins). Flashcards: Front (term), Back (points + mnemonic). Print table for wall revision. Covers 100% chapter – easy for exams!
Key Terms & Processes - All Key
Expanded table 30+ rows; quick ref. Added advanced (e.g., Generative AI, Edge). Overflow fixed with word-break/overflow-wrap.
Term/Process Description Example Usage
Artificial Intelligence Human-like machine intelligence Siri Cognitive Machine Learning Learn from data algorithms Predictions AI sub Natural Language Processing Lang interaction human-comp Voice search NLP Virtual Reality 3D simulated world Headset (Fig 2.3) Immersive Augmented Reality Digital overlay real Location app (Fig 2.4) Interactive Robotics Programmable machines Sophia (Fig 2.6) Automation Big Data Voluminous complex data Social (Fig 2.8) Analysis Volume Enormous size Quintillion bytes 5V Veracity Trustworthiness Noisy data 5V Data Analytics Examine for conclusions Pandas Insights Internet of Things Embedded device network Smart home (Fig 2.10) Connect Web of Things Web-integrated IoT Unified app WoT Sensor Physical input detect Accelerometer IoT Smart City IoT urban mgmt Bridge sensors (Fig 2.11) Sustain Cloud Computing On-demand Internet services Google Drive Scalable IaaS Infra as service VMs Hardware SaaS Software as service Office 365 Apps Grid Computing Dispersed supercomputer Nodes (Fig 2.13) Parallel Blockchain Decentralized ledger Crypto (Fig 2.14) Secure Generative AI Content creation AI ChatGPT 2025 Edge Computing Local IoT process Low latency Advanced Knowledge Base AI facts store Rules Decisions Humanoid Human-like robot Sophia Gestures Drone Unmanned aircraft Delivery (Fig 2.7) Monitor Velocity Generation rate Tweets/sec 5V Variety Data types Text/video 5V Value Patterns business Insights 5V PaaS Platform as service App deploy Dev MeghRaj Govt cloud India GI Cloud Public Globus Toolkit Grid middleware Resource mgmt Open Append-Only Blockchain feature No alter Secure Smart Sensor Process input Gyro IoT Machine Translation NLP app Translate Multilingual Driving Simulator VR training Fig 2.2 Immersive Mars Rover Robotic explorer NASA (Fig 2.5) Mission Quintillion Big Data scale Daily bytes Volume VPS AR positioning Indoor nav Utility Data Grid Distributed access Multi-user Grid CPU Grid Parallel process Subtasks Grid
Tip: Examples memory; sort subtopic. Easy: Table scan. Added 10 rows depth.
Processes Step-by-Step
Step-by-step breakdowns of core processes. Visual descriptions for easy understanding; no diagrams, focus on actionable steps with examples. Overflow fixed in tables.
Process 1: ML Model Training
Step 1: Gather training data.
Step 2: Apply algorithms.
Step 3: Test accuracy.
Step 4: Iterate/improve.
Step 5: Deploy for predictions.
Visual: Loop – Data → Train → Test → Refine.
Process 2: NLP Text-to-Speech
Step 1: Input text.
Step 2: Parse language.
Step 3: Generate audio.
Step 4: Output voice.
Step 5: Feedback refine.
Visual: Pipeline – Text → Parse → Speak.
Process 3: Big Data Analytics
Step 1: Collect/assess 5Vs.
Step 2: Clean/integrate.
Step 3: Analyze (Pandas).
Step 4: Visualize conclusions.
Step 5: Apply value.
Visual: Funnel – Raw → Clean → Insight.
Process 4: IoT Data Exchange
Step 1: Sensor detect.
Step 2: Transmit via network.
Step 3: Device receive/act.
Step 4: WoT unify.
Step 5: Analyze response.
Visual: Chain – Sense → Send → Act.
Process 5: Cloud Deployment (PaaS)
Step 1: Choose platform.
Step 2: Upload code.
Step 3: Configure auto-scale.
Step 4: Deploy live.
Step 5: Monitor/pay-use.
Visual: Upload → Run → Scale.
Process 6: Blockchain Transaction
Step 1: Request broadcast.
Step 2: Nodes validate.
Step 3: Add block.
Step 4: Update chain copies.
Step 5: Confirm complete.
Visual: Network – Propose → Verify → Chain.
Tip: Follow steps like recipe; apply to figs (2.9/2.14). Easy: Number + example per step.
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Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 12 marks: Climate, Vegetation (Unit III) Full CBSE map-work list, chapter by chapter Indus, Ganga, Brahmaputra river systems Monsoon mechanism, onset and four seasons Common traps, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 4 marks: Map Scale, conversions worked 4 marks: Latitude, Longitude and Time 4 marks: Topographical Maps, contours 5 marks: practical file and viva Conical and Mercator's construction steps Page 1 free about 8 min read , Full kit about 55 min read ₹159
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Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 12 marks: Executive to Judiciary Constitution-making timeline Institution-by-institution comparisons 6 marks: elections, FPTP, PR, reserved seats Fundamental Rights and Directive Principles Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 10 marks each: Units 1 and 2 20 marks: project work, covered Tables: groups, stratification, marriage Every thinker and concept of Chapters 1–4 Common traps, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 12 marks each: Units 7, 9 and 10 7 thinkers: dates, works, examples Four Indian sociologists, in tables Ideal type, bureaucracy, division of labour Common traps, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 11 marks each: Units I and III 9 marks: Learning, Unit V 8 marks each: Perception and Memory Every school with its founder Comparisons examiners ask for Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 8 marks: note-making and summary 5 poems compared, cross-text themes Common traps, corrected Poetic devices with short quotes Grammar each chapter teaches Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 4-, 3- and 6-mark answers: how to write them Plot timeline for every text Common traps, corrected Every character, with evidence Cross-text themes, side by side Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps Poetic forms and rhyme schemes Devices with short quotes Common traps, corrected Essay arguments, essay by essay Words each chapter teaches Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 16 writers placed on one timeline 60- and 40-word answer frames 8 काव्य पाठ: प्रतीक and काव्य-सौंदर्य Lines worth remembering, with page refs 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 10 marks (2 × 5): answer frames 5-mark answers in about 60 words 4 lessons: argument, events, characters Lines worth remembering, by page 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 16 writers placed on one timeline 40-word and व्याख्या answer frames 8 काव्य पाठ: प्रतीक, उपमान, काव्य-सौंदर्य Lines worth remembering, with page refs 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 5-mark, 100-word answer frames 9 exercise questions: आवारा मसीहा 7 exercise questions: हुसैन की कहानी Life events linked to the works 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 20 marks: grammar, from text words Sandhi, pratyaya and lakar examples Anvaya and bhavartha answer method Source text and author for every lesson 10 common errors, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 20 marks: grammar, भाग ग, from the text 10 marks: history of literature Sandhi, samasa, pratyaya, upapada examples Source text and author for every lesson Common errors, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each Author, genre and characters per lesson Couplets explained: Insha and Fani ghazals Grammar for Section A Letter and advertisement formats 10 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 38 marks: the answer frame 13 genres, each introduced 18 writers and poets: dates and works Literary devices (صنعتیں) and key words Common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 10 marks: literary forms, covered 5 geets, each with its poet Nazm defined, with its four kinds Answer points for the book's questions Common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 15 marks: Unit 3, society, law and ethics 10 marks: Unit 1, number-system conversions Common traps that cost marks, listed Truth tables for Boolean logic String, list and dictionary methods Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 25 marks: Python, lists, NumPy (Unit 2) 10 marks: Computer System (Unit 1) Common traps, corrected Every list and dictionary method, with output SQL queries re-run on the book's tables Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 23 marks: Unit II 15 marks: Unit III, health and hygiene Common traps, corrected Five food groups, RDA and the pyramid Nine fibres and the burning test Page 1 free about 8 min read , Full kit about 55 min read ₹159
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Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 15 marks each: the two theory units What to write when asked to appreciate Bharhut, Sanchi and the cave sites Temple architecture: how a temple is built Bronzes and Indo-Islamic buildings Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 20 marks each: Units II and III Enzyme kinetics and bioenergetics Common traps, corrected Mendel-to-operon genetics Tables and numbers, each with its page Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each, common traps 15 marks: language and literature 14 marks: the nine darśanas Common traps, corrected 13 marks: astronomy in India 4 chapters, each with answer frames Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each Frames for news, interview and review Inverted pyramid and the six ककार Play-writing frame Translation rules, with solved examples Common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 50 marks: games and sports strand 25 marks: health and fitness strand Eight team games, side by side Fitness tests, norms and formulas Yoga asanas for wellness Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 22 श्रुतियाँ and 10 थाट, defined बिहाग, भीमपलासी, भैरवी with बंदिश notation तीनताल, एकताल, चौताल: ठाह, दुगुन, चौगुन तानसेन, भातखंडे, पलुस्कर profiled 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each वादी-संवादी, पकड़ and बंदिश for each राग तीनताल, एकताल, चौताल: ठाह, दुगुन, चौगुन तानसेन, भातखंडे, पलुस्कर profiled Four classes of instruments, तानपुरा, सितार 12 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Marks booster + cheatsheet: key concepts in 2 lines each 6 marks each: all five units ठाह, दुगुन, तिगुन, चौगुन written out 14 artists with dates कुदऊ सिंह and नाना पानसे: two lives 14 common mistakes, corrected Page 1 free about 8 min read , Full kit about 55 min read ₹159
Read page 1 free Get the kit Get the kit One payment · instant PDF · ₹159 View details Get alerts for CBSE Class 11 Annual Assessment
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This chapter is part of the CBSE Class 11 Annual Assessment Board Examination Explore every chapter — summary, notes, extra questions & MCQ quizzes Preparing for CBSE Class 11 Annual Assessment? Students also sit JEE is set on the Class 11 and 12 Physics, Chemistry and Maths syllabus; students prepare for boards and JEE together.
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Discovering Tut: the Saga Continues
Start here
#2
#3
Constitution: Why and How?
#4
#5
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Methods of Enquiry in Psychology
#9
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An Empire Across Three Continents
#11
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The Summer of the Beautiful White Horse
#13
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We're Not Afraid to Die... if We Can All Be Together
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Election and Representation
#18
Political Theory: An Introduction
#19
#20
Biological Classification
#21
Motion in a Straight Line
#22
Accountancy (Class 11) Practice Quiz | CBSE Class 11 Annual Assessment
#23
Sets and Venn Operations Fundamentals — Free CBSE Class 11 Annual Assessment Quiz
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Rights in the Indian Constitution
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Changing Cultural Traditions
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Private, Public and Global Enterprises
#38
Depreciation, Provisions and Reserves
#39
Introduction to Accounting
#40
Cell Cycle and Cell Division
#41
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Anatomy of Flowering Plants
#43
Organic Chemistry – Some Basic Principles and Techniques
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The Ailing Planet: the Green Movement's Role
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Sensory, Attentional and Perceptual Processes
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Introducing Western Sociologists
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Social Change and Social Order in Rural and Urban Society
#65
Social Structure, Stratification and Social Processes in Society
#66
Doing Sociology: Research Methods
#67
Culture and Socialisation
#68
Understanding Social Institutions
#69
Terms, Concepts and Their Use in Sociology
#70
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The Philosophy of the Constitution
#72
Constitution as a Living Document
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Natural Hazards and Disasters
#83
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Structure and Physiography
#87
Biodiversity and Conservation
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World Climate and Climate Change
#91
Atmospheric Circulation and Weather Systems
#92
Solar Radiation, Heat Balance and Temperature
#93
Composition and Structure of Atmosphere
#94
Landforms and their Evolution
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Distribution of Oceans and Continents
#97
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The Origin and Evolution of the Earth
#99
Geography as a Discipline
#100
Displacing Indigenous Peoples
#101
#102
Comparative Development Experiences of India and its Neighbours
#103
Environment and Sustainable Development
#104
Employment: Growth, Informalisation and Other Issues
#105
#106
Human Capital Formation in India
#107
Liberalisation, Privatisation and Globalisation: An Appraisal
#108
Indian Economy on the Eve of Independence
#109
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Measures of Central Tendency
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MSME and Business Entrepreneurship
#118
Sources of Business Finance
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Social Responsibilities of Business and Business Ethics
#121
Emerging Modes of Business
#122
#123
Forms of Business Organisation
#124
Business, Trade and Commerce
#125
Financial Statements - II
#126
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Trial Balance and Rectification of Errors
#128
Bank Reconciliation Statement
#129
Recording of Transactions - II
#130
Recording of Transactions - I
#131
Theory Base of Accounting
#132
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Introduction to Three Dimensional Geometry
#136
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Permutations and Combinations
#141
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Complex Numbers and Quadratic Equations
#143
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Chemical Coordination and Integration
#146
Neural Control and Coordination
#147
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Excretory Products and their Elimination
#149
Body Fluids and Circulation
#150
Breathing and Exchange of Gases
#151
Plant Growth and Development
#152
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Photosynthesis in Higher Plants
#154
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Structural Organisation in Animals
#156
Morphology of Flowering Plants
#157
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Chemical Bonding and Molecular Structure
#160
Classification of Elements and Periodicity in Properties
#161
Some Basic Concepts of Chemistry
#162
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Thermal Properties of Matter
#167
Mechanical Properties of Fluids
#168
Mechanical Properties of Solids
#169
#170
Systems of Particles and Rotational Motion
#171
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Business Studies (Class 11) Practice Quiz | CBSE Class 11 Annual Assessment
#174
Economics (Class 11) Practice Quiz | CBSE Class 11 Annual Assessment
#175
Humanities Subjects Practice Quiz | CBSE Class 11 Annual Assessment
#176
Motion in a Straight Line Practice Quiz | CBSE Class 11 Annual Assessment
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Thermodynamic Processes and Laws Advanced Challenge | CBSE Class 11 Annual Assessment
More on CBSE Class 11 Annual Assessment19 guides Tuples and Dictionaries – NCERT Class 11 Computer Science Chapter 10 – Tuple Operations and Dictionary Handling in Python Strings – NCERT Class 11 Computer Science Chapter 8 – String Operations, Traversal, and Methods in Python Getting Started with Python – NCERT Class 11 Computer Science Chapter 5 – Basics, Data Types, Operators, and Debugging Functions – NCERT Class 11 Computer Science Chapter 7 – Defining, Calling, and Understanding Functions in Python Mathematical Modelling – NCERT Class 11 Mathematics Appendix 2 – Concepts, Importance, and Applications in Real-world Problems Complete Summary and Solutions for Database Concepts – NCERT Class XI Informatics Practices, Chapter 7 – Explanation, Questions, Answers Encoding Schemes and Number System – NCERT Class 11 Computer Science Chapter 2 – ASCII, ISCII, UNICODE, Binary, Octal, Decimal, Hexadecimal Complete Summary and Solutions for Brief Overview of Python – NCERT Class XI Informatics Practices, Chapter 3 – Explanation, Questions, Answers Complete Summary and Solutions for Computer System – NCERT Class XI Informatics Practices, Chapter 1 – Explanation, Questions, Answers Introduction to Problem Solving – NCERT Class 11 Computer Science Chapter 4 – Algorithms, Flowcharts, Pseudocode, and Control Structures Flow of Control – NCERT Class 11 Computer Science Chapter 6 – Conditional and Looping Constructs in Python Alerts and Updates for CBSE Class 11 Annual Assessment Complete Summary and Solutions for Adventure Sports – Health and Physical Education Textbook for Class XI, Chapter 11 – Explanation, Questions, Answers Complete Summary and Solutions for Tournaments and Competitions – Health and Physical Education Textbook for Class XI, Chapter 10 – Explanation, Questions, Answers Complete Summary and Solutions for Measurement and Evaluation – Health and Physical Education Textbook for Class XI, Chapter 9 – Explanation, Questions, Answers Complete Summary and Solutions for Health Related Physical Fitness – Health and Physical Education Textbook for Class XI, Chapter 8 – Explanation, Questions, Answers Complete Summary and Solutions for Safety and Security – Health and Physical Education Textbook for Class XI, Chapter 7 – Explanation, Questions, Answers Complete Summary and Solutions for Yoga and Its Relevance in the Modern Times – Health and Physical Education Textbook for Class XI, Chapter 6 – Explanation, Questions, Answers Complete Summary and Solutions for Team Games – Health and Physical Education Textbook for Class XI, Chapter 5 – Explanation, Questions, Answers Notebook backup + AI Save your notes. Revise with AI. Learn more → Share this article
