IAT With Google Gemini - The 2026 AI Master Class
Contents
- 1 Your Journey To Mastering AI For The IAT And Much More Starts Here
- 2 How Gemini Helps With Every Subject For The IAT
- 3 How AI Boosts Your Efforts : Data From Recent Studies
- 4 Advanced Prompting Techniques by Google for 2026, with Examples Prompts For The IAT
- 5 Using Google Gemini App Input Method's For The IAT
- 6 Solving Questions From The IAT Syllabus Using Google Gemini
- 7 Using Google Gemini for IAT Deep Exam Research
- 8 Guided Learning For IAT With Google Gemini As Your Personal Coach
- 9 Important Links for IAT.
- 10 FAQs About AI Use
- 11 Related Articles
Your Journey To Mastering AI For The IAT And Much More Starts Here
The reward for conquering the IISER Aptitude Test (IAT) is massive: guaranteed entry into India’s premier scientific research institutions (IISERs) and an accelerated career in fundamental science and research. The requirement is absolute conceptual mastery across the vast syllabus of Biology, Physics, Chemistry, and Mathematics—a multidisciplinary challenge that can easily feel overwhelming. But the fact that you are proactively seeking advanced help proves your fierce determination; success is inevitable with the right strategy. Your secret weapon is Artificial Intelligence (AI), which closes the preparation gap by acting as a 24/7 personalized tutor that instantly solves complex doubts, rapidly generates specific practice questions, and helps you master intricate core concepts. This high-efficiency approach is trusted because it is built on my real-world experience using AI daily for complex professional tasks like sales, web development, and SEO, giving you a proven strategy to master the IAT.
Note :
- “The techniques and prompt engineering principles you learn in this guide are universally applicable to any large language model (LLM), including ChatGPT and Perplexity AI. We use Google Gemini for all examples because its latest multimodal features and integration with Google Search provide a best-in-class learning experience.”
- “Remember: The quality of the AI’s answer depends entirely on the clarity of your prompt. Always be specific, detailed, and clear with the AI to avoid irrelevant or incorrect (hallucinated) responses.”
How Gemini Helps With Every Subject For The IAT
| Focus Area | What Gemini Does | Your Benefit |
|---|---|---|
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Concept Visualization Guide
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You learn to solve hard problems by understanding how things work. This helps you get more answers right in the IAT exam. |
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Chemical Logic Teacher
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You stop treating chemistry like a memory test. You can predict how chemicals will act even if you haven't seen them before. |
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Lab Result Interpreter
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You get ready for the research questions in the exam. You learn to think like a real scientist looking at life and nature. |
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Math Step Explainer
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You become much better at solving new types of math problems. You learn to spot shortcuts and avoid tricky exam traps. |
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Cross-Science Bridge
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You build the mindset needed for IISER. You can solve the hardest questions that mix two or three subjects together. |
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Mistake Pattern Tracker
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Every wrong answer becomes a lesson. You spend your time fixing only the things that will give you the biggest score boost. |
How AI Boosts Your Efforts : Data From Recent Studies
| Research Metric | Evidence & Analysis | Academic Significance |
|---|---|---|
| 25–40% score gain on hard questions Active Learning Meta-Analyses |
Better Performance on High-Difficulty Problems
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What This Means
AI doesn’t just help with easy questions — it improves performance exactly where IAT separates ranks.
IAT Edge: Major gains in Physics & Maths multi-step problems.
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| 25–35% weak-subject accuracy Diagnostic Learning Research |
Balanced Performance Across All Four Subjects
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What This Means
AI finds the one subject quietly pulling your IAT score down and fixes it before it costs rank.
IAT Edge: Prevents uneven subject performance in low-attempt papers.
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| 20–30% higher attempt rate Concept-Linking Studies |
More Attempts on Solvable Hard Questions
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What This Means
AI helps you recognize when a hard-looking question is actually solvable using known ideas.
IAT Edge: Critical for Physics & Maths under-attempting issues.
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| 30–40% long-term concept retention Spaced-Revision Research |
Retention of Abstract & Theoretical Concepts
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What This Means
AI keeps difficult ideas alive in memory — not just formulas, but ways of thinking.
IAT Edge: Protects marks lost due to forgotten concepts, not ignorance.
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Advanced Prompting Techniques by Google for 2026, with Examples Prompts For The IAT
Google Gemini is a Reasoning Engine. To get "A+ Grade" results for the IAT (IISER Aptitude Test) and scientific aspirants, move beyond basic questions using these six pillars.
- The Technique: Setting the Persona, Task, Context, and Format.
- The Logic: The IAT (IISER Aptitude Test) is designed to test scientific aptitude rather than rote memory. Assigning a role like "Research Scientist" or "IISER Professor" ensures the AI provides conceptually deep answers, while the Context "fences" it into the IAT syllabus (PCMB) to prevent it from wandering into JEE Advanced or NEET-specific shortcuts that don't apply here.
Persona: Act as an [Any Expert Role: e.g., Theoretical Physicist, Molecular Biologist, Pure Mathematician]. Task: Explain [Your Topic: e.g., Wave-Particle Duality, Gibbs Free Energy, Diversity in Living Organisms]. Context: Apply this specific background: [Source Context: e.g., Use only the NCERT and KVPY-level conceptual depth] [Difficulty Context: e.g., Focus on multi-concept application questions for IAT] [Analytical Context: e.g., Assume the student is aiming for IISER/IISc admission] Format: Provide the answer as a [Structure: e.g., Concept Breakdown, 5-Point High-Yield List, Theory Summary].
- The Technique: Breaking a problem into a "Step-by-Step" sequence with logic checks.
- The Logic: IAT questions are often "assertion-reason" or "multi-correct" in spirit. This version forces the AI to "Self-Correct"—verifying the Step 1 (theoretical assumptions) before it moves to Step 2 (mathematical application), ensuring the logical derivation is sound before you commit to an answer.
Solve this [Subject: e.g., Physics, Organic Chemistry] problem using Chain-of-Thought. Step 1: List all given [Physical Constants/Chemical Reagents] and state the underlying scientific principles. Step 2: Formulate the core [Equation/Mechanism] and verify if any exceptions (like steric hindrance or non-ideal behavior) apply. Step 3: Show the step-by-step derivation, verifying the conceptual logic of each line before moving forward. Question: [Insert your IAT question here]
- The Technique: Limiting the AI to official domains with a focus on recent data.
- The Logic: IISER admission criteria and IAT exam patterns (like the total number of questions or marking scheme) can change. This "Time-Stamp" filter forces the AI to prioritize official IISER Admission portals from the last 12 months for 100% accuracy.
Research the [Topic: e.g., IAT 2026 Marking Scheme, IISc Admission via IAT guidelines]. Constraint: Only use info from official portals: [Domain 1: e.g., iiseradmission.in]. Recency Rule: Prioritize data published in the last 12 months. Output: Provide the official summary and the direct link to the source.
- The Technique: Setting strict "Rules of Play" including forbidden keywords.
- The Logic: IAT requires high-density conceptual clarity. By setting hard boundaries and forbidding "AI-voice" fillers (like "Essentially" or "In conclusion"), you get sharp, technical notes that focus on the core scientific definitions needed for the exam.
Explain [Concept: e.g., Photoelectric Effect, SN1 vs SN2, Endosymbiotic Theory]. Constraint 1: Use only [Specific Source: e.g., NCERT, Campbell Biology] terminology. Constraint 2: Keep the response under [Limit: e.g., 80 words]. Constraint 3 (Negative): Do not use AI-filler phrases like "Basically" or "I hope this helps." Format: Use simple bullet points.
- The Technique: Using a Feedback Loop with an "Active Recall" check.
- The Logic: Treat the AI like a PhD mentor. This version forces the AI to stop and ask you an analytical question after its explanation, ensuring you grasp the experimental logic (like why a specific control is used in a biology experiment) before moving on.
Explain [Topic: e.g., Doppler Effect, DNA Sequencing, Coordinate Geometry]. Instruction: Provide a high-level conceptual summary first. Feedback Loop: Ask me if I want a mathematical derivation or a real-world scientific application. Active Recall: Once I am satisfied, provide one 'IAT-standard' analytical question based on your explanation.
- The Technique: Providing a structural blueprint before injecting raw data.
- The Logic: Use this to organize your PCMB revision. You command the AI to build a specific result (like a comparison table of Animal Kingdom phylums or Integration formulas) using a layout you provide, ensuring it is 100% revision-ready.
Make a [Desired Output: e.g., Taxonomical Comparison Table, Physics Formula Sheet, Chemical Property Grid]. Layout Blueprint: [Structure: e.g., 4-column table, Numbered list]. Style: [Vibe: e.g., Academic Minimalist, Professional]. Strict Rule: Adhere to the structure provided; no conversational filler. Use this information: [PASTE_TEXTBOOK_DATA_OR_NOTES_HERE]
Using Google Gemini App Input Method's For The IAT
Scientific Literature & NCERT Analysis
Upload **PDFs of laboratory manuals, research papers, or NCERTs**. Use *Evidence-Based Synthesis* to extract data from experimental charts or simplify complex scientific journals into clear study summaries.
Conceptual Recall & Inquiry
Review **Physics laws or Biology cycles hands-free**. Use *Active Recall* to verify memory-based constants or practice explaining reaction mechanisms using *Spaced Repetition* while you are on the move.
Analytical Derivation & Problem Solving
Your primary tool for **step-by-step scientific support**. Apply *First Principles Thinking* to solve integration problems, analyze chemical equilibrium, or dissect genetic pathways for the IAT standard.
Solving Questions From The IAT Syllabus Using Google Gemini
Example 1: IAT Biology
Genetics & Molecular Biology
Official Path: Biology: Molecular Basis of Inheritance
The Deep Search Strategy
Research "Molecular Mechanism of DNA Replication" and "Enzymology of the Replication Fork." In the IISER Aptitude Test (IAT), questions focus on the biochemical logic and experimental evidence behind cellular processes. Grounding the prompt in the "Anti-parallel nature of DNA" ensures the AI explains the necessity of Okazaki fragments, providing the analytical depth required for the 15-question Biology section.
Study Lab
IAT Biology Module
"Act as a Molecular Biologist and IAT Subject Expert (Persona). Explain the Mechanism of DNA Replication (Subject) in the context of the S-phase of the cell cycle (Context). Focus on the 'Bi-directional Fork' and 'Enzymatic Coordination.' Provide a step-by-step molecular summary (Format)."
"Analyze the Semi-discontinuous nature of Replication using Chain-of-Thought. Step 1: Explain the 5' to 3' constraint. Step 2: Describe Leading strand formation. Step 3: Detail Okazaki fragments. Step 4: Verify Semi-conservative nature via Meselson-Stahl isotope ratios."
"Create a Molecular Biology and Genetics Concept Matrix for IAT aspirants. Structure: Biological Process, Key Enzyme/Molecule, The 'IAT Trap', and Experimental Proof. Constraints: Structured hierarchical list. 100% accuracy."
IAT Biology Lab • Molecular Inheritance Module
Example 2: IAT Chemistry
Organic Chemistry Mechanisms
Official Path: Haloalkanes, Alcohols, and Nucleophilic Substitution
The Deep Search Strategy
Research "Nucleophilic Substitution Kinetics and Stereochemistry" and "Solvent Effects on $S_N1$ vs $S_N2$." For the IISER Aptitude Test (IAT), questions often focus on the transition state energy and the electronic environment of the reaction center. Grounding the prompt in the "Walden Inversion" and "Rearrangement of Carbocations" ensures the AI explains why $S_N1$ often leads to partial racemization rather than complete, providing the conceptual depth required for the 15-question Chemistry section.
Study Lab
IAT Chemistry Module
"Act as an Organic Chemist and IAT Mentor (Persona). Explain the Stereochemical Consequences of Nucleophilic Substitution (Subject) in the context of chiral alkyl halides (Context). Focus on the 'Backside Attack' in $S_N2$ and 'Planar Intermediates' in $S_N1$. Provide a comparative structural summary (Format)."
"Analyze the Reaction of 2-Bromobutane with Aqueous $KOH$ using Chain-of-Thought. Step 1: Identify substrate nature. Step 2: Polar Protic Solvent ($S_N1$ stabilization). Step 3: Polar Aprotic Solvent ($S_N2$ reactivity). Step 4: Verify the Energy Profiles."
"Create an Organic Reaction and Electronic Effects Matrix for IAT aspirants. Structure: Pathway -> Intermediate -> Reagent -> Stereochemistry -> IAT Trap. Include stabilization effects and solvation energy. Ensure 100% accuracy."
IAT Organic Lab • Nucleophilic Substitution Module
Example 3: IAT Physics
Rotational Dynamics & Angular Momentum
Official Path: Physics: Rotational Motion and Rigid Body Dynamics
The Deep Search Strategy
Research "Rolling Without Slipping Dynamics" and "Kinetic Energy of Rigid Bodies." For the IISER Aptitude Test (IAT), questions frequently test the transition from pure translation to combined translational-rotational motion. Grounding the prompt in the "Instantaneous Axis of Rotation" ensures the AI explains the partition of energy between the center of mass and rotational components, providing the mathematical depth required for the 15-question Physics section.
Study Lab
IAT Physics Module
"Act as a Theoretical Mechanician and IAT Physics Mentor (Persona). Explain Rolling Motion (Subject) on a rough horizontal plane (Context). Focus on the 'Partition of Kinetic Energy' and the 'Velocity of the Point of Contact.' Provide a mathematical summary (Format)."
"Analyze the Force of Friction in Rolling using Chain-of-Thought. Step 1: Static friction and $v = R\omega$. Step 2: Work done by friction. Step 3: Effect of a frictionless patch. Step 4: Verify energy conservation."
"Create a Rigid Body Dynamics and Conservation Laws Matrix for IAT aspirants. Structure: System -> Dynamic Variable -> Conservation Condition -> IAT Trap -> Rotational Analogue. Include Moment of Inertia for standard geometries."
IAT Physics Lab • Rotational Motion Module
Using Google Gemini for IAT Deep Exam Research
What is Deep Research?
Deep research for the IAT (IISER Aptitude Test) involves using Google Gemini to connect core PCMB concepts with high-level scientific inquiry and research logic. It turns the AI into a scientific partner that helps you understand the "Why" behind multi-step problems, moving beyond rote learning to the analytical depth required for admission to the IISERs and IISc.
How It Helps You
- Interdisciplinary Concept Mapping: IAT focus is often on the overlap between subjects (e.g., Physical Chemistry and Physics). Gemini helps you find these logical links to solve complex, interdisciplinary questions.
- Breaking Down Research Papers: Deep research allows you to simplify advanced findings into exam-ready notes, giving you a competitive edge in "Higher Order Thinking" sections.
- Logical Step Analysis: Stay updated on the exact derivations and experimental logic for Biology and Physics—topics that are critical for solving non-routine IAT problems.
- Scientific Inquiry Logic: Instead of just learning facts, Gemini can research the history of a scientific theory to help you understand the experimental process and proof.
Grounding and Context
What it is: "Grounding" means tethering Gemini to the official IISER entrance syllabus and NCERT textbooks so it doesn't give you unverified data or logic that is outside the exam's scope.
Why it matters: Science facts must be mathematically and experimentally precise. Grounding ensures you use sources like IISER Official Admissions Portal, NPTEL Resources, and NCERT Supplementary Data.
How you do it:
1. Download the latest official IAT syllabus or a compilation of the last 3 years' conceptual questions PDF.
2. Upload the PDF to Gemini.
3. Use the command: "Filter all your future research through the specific conceptual depth and PCMB requirements found in this official IAT guide."
System-Task-Range Prompting
Expert Framework for Scientific ResearchThis structured framework allows you to customize the AI's persona and objective. Use it to create multi-purpose research tasks for Physics, Chemistry, Math, or Biology.
“System: (Senior Research Scientist | IISER Scholar Analyst | Expert PCMB Tutor). Task: (Analyze interdisciplinary links | Audit my conceptual logic | Solve high-order thinking sets | Synthesize lab data). Range: (IAT syllabus only | Research-oriented depth | NCERT foundation focus | Multi-concept integration). Research the latest conceptual breakthroughs in [IAT Topic, e.g., Quantum Chemistry]. Summarize the top 3 trends and create three practice questions. Use only official syllabus guides and verified scientific journals.”
The India Should Know Technique
The "Reverse Engineering" MethodThis method lets you dictate the exact outcome before the AI processes data. Use it to specify the required info, sources, emphasis, style, and exclusions.
“I want to create a high-density study brief for [IAT Topic, e.g., Electromagnetism in Molecular Biology]. Information Required: (Conceptual links | Major experimental proofs | Impact on research | Logic-based solutions). Sources: (Official IISER syllabus | NCERT textbooks | Peer-reviewed journals | Standard scientific handbooks). Emphasis: (Interdisciplinary logic | Mathematical derivations | Success rules for problem solving | Key research keywords). Presentation: (Structured list with bullet points | Comparison table for concepts | Step-by-step logic summary | Experimental flowchart). Exclusions: (Generic fluff | Vague definitions | Unverified shortcuts | Long paragraphs | Basic school-level trivia). Once generated, I will ask you to create a logic-based conceptual question for this brief.”
Tips for Better Deep Research
- The "Logic Loop": After an answer, ask: "What is the most common reason a student fails to connect these two concepts in a single question?" to identify conceptual traps.
- Verify Scientific Constants: Always use the "Google" search button to verify the latest material constants, physical values, or classification updates mentioned in your research.
- Visual to Text: If you are studying complex circuits, chemical bonds, or biological maps, describe the linkages to Gemini and ask it to explain the "unseen" force or logic at each junction.
- Chain of Reasoning: For mathematical derivations, tell Gemini: "Explain the transition between these two logical steps step-by-step so I can mentally solve this during the actual test."
Guided Learning For IAT With Google Gemini As Your Personal Coach
What is Guided Learning with AI?
For IAT (IISER Aptitude Test) aspirants, guided learning with AI is like having a PhD-level scientist available 24/7 to help you crack the logic behind deep conceptual problems in Physics, Chemistry, Biology, and Math. Instead of just searching for the final answer, you use Gemini to simulate a high-level research dialogue. It identifies gaps in your fundamental understanding and explains complex scientific principles in ways that match the analytical mindset required for IISERs and IISc.
How it helps you for this course/exam
- Master Conceptual Depth: The IAT focuses on how well you understand the 'Why' behind a scientific law. Gemini can break down complex topics like 'Quantum Mechanics' or 'Molecular Biology', ensuring you understand the logic rather than just memorizing a textbook line.
- Improve Analytical Thinking: Whether it is a multi-step organic synthesis or a complex physics derivation, Gemini can help you identify the logical gap in your approach, teaching you how to troubleshoot scientific problems like a professional researcher.
- PCMB Efficiency: It can act as a cross-subject mentor, helping you find links between variables in different subjects—like how thermodynamics in chemistry connects to physics—which is critical for the interdisciplinary questions found in IAT.
How to do it in short
1. Define the Role: Tell Gemini it is an expert IAT Mentor specializing in Physics, Chemistry, Math, or Biology.
2. Set the Boundary: Tell it NOT to give you the answer immediately—insist on guiding you through the scientific logic first.
3. Interactive Dialogue: Ask it to explain a conceptual principle or quiz you on a complex cycle one question at a time.
4. Feedback Loop: Provide your logic for a solution, and let the AI correct your reasoning based on IAT standards.
Google Suggested Method: Conversational Scaffolding
Google’s recommended approach focuses on "conversational scaffolding." For IAT, this means starting with basic scientific definitions or laws and letting the AI guide you step-by-step toward solving full-scale complex analytical problems through a back-and-forth chat.
“I am studying for the IAT exam, specifically focusing on [Subject/Chapter]. I want you to act as a supportive scientist mentor. Start by asking me what I already know about [Specific Topic], and then help me build my understanding by asking follow-up questions that connect basic logic to advanced analytical science problems. Don't give me all the information at once; let's take it step-by-step.”
Google Suggested Method: The Socratic Method
The Socratic method is the gold standard for mastering scientific logic. Instead of the AI explaining a formula or a biological cycle to you, it asks you a series of disciplined questions. This forces you to think through the logical and technical flow yourself, which is critical for solving unseen problems during the actual exam.
“I want to learn the core logic behind [Topic]. Act as a Socratic tutor for IAT prep. Do not give me the explanation. Instead, ask me a leading question that helps me realize the core technical principle behind this. Once I answer, ask another question to push my thinking into real-world application until I have fully grasped the concept.”
The India Should Know Method
The "Reverse Engineering" MethodThe India Should Know method is about Reverse Engineering. Instead of letting the AI wander, you put heavy constraints on the output. You define the exact "shape" of the session—specifying the need for high-density analytical formats—before you ever give it the raw study data or syllabus details.
“Intent: Act as an expert scientist Professor specializing in [Subject]. Context: I am preparing for my IAT entrance exam and need to master [Chapter/Topic]. Format Constraints: * Conduct a 'Step-by-Step Technical Logic' or 'Scientific Reasoning' session. * Ask exactly one question or logic-part at a time. * Wait for my response before moving to the next part of the logic. * If I am wrong, provide a conceptual hint rather than the final answer. * Use a professional and encouraging tone. * After 5 questions, provide a 'Conceptual Gap Report' in a table format (Column 1: Science Concept, Column 2: Mastery Level 1-10, Column 3: High-Yield Improvement Area). Raw Data: [Paste your notes, textbook text, or syllabus here] Instruction: Once you understand these constraints and the data provided, acknowledge this by asking the first question.”
Tips for Guided Learning
- Be Honest with the AI: If you don't understand a scientific hint, say "I don't understand the physical logic here, explain it using a everyday analogy." The AI can pivot its teaching style immediately.
- Use Voice Mode for Cycles: If you are on the Gemini app, use Gemini Live. Talking through the logic of a complex biological cycle or a chemical path out loud helps build the clarity needed for the actual exam pressure.
- Feed it Practice Sets: Paste specific tricky questions from previous year IAT papers into the "Raw Data" section. This ensures the AI quizzes you on the exact level of analytical rigor expected in the IISER Aptitude Test.
- Review the Gap Report: Don't just finish the session. Look at the "Conceptual Gap Report" and ask Gemini to create a 10-minute focus summary sheet just for the areas where you need more logical clarity.
Note: Once Gemini produces the outcome based on these prompts, you can further improve it by saying: "That was great, but make the questions more focused on [Specific Sub-topic] and use more practical, research-style examples."
Important Links for IAT.
The primary unified authority for the IISER Aptitude Test (IAT). Access the official information brochure, application registration, and seat allotment results for all seven IISERs.
Joint Admission Committee (JAC)The official committee managing the BS and BS-MS dual degree admissions. Refer here for official FAQs, counseling instructions, and institutional eligibility norms.
AI Study Intelligence Google Gemini (Web Interface)Advanced reasoning model for solving complex conceptual problems in Physics and Chemistry, and generating structured plans for the IAT syllabus.
Official Academic Resources NCERT Digital TextbooksDownload official PDF versions of Class 11 & 12 NCERT books. The IAT syllabus is strictly aligned with these resources for Physics, Chemistry, Biology, and Math.
Department of Science & TechnologyOfficial government body for science policy. Refer here for data on national science fellowships like INSPIRE-SHE, relevant to BS-MS students at IISERs.
Your Journey To Mastering AI Has Just Begun, Go Practice Now
Leveraging Google Gemini AI for your IISER Aptitude Test preparation is akin to having a dynamic and ever-present study partner. It transcends the limitations of traditional study methods by offering instant, detailed explanations, clarifying complex concepts, and helping you practice effectively across Biology, Chemistry, Physics, and Mathematics. By integrating Gemini into your daily study routine, you’re not just preparing for an exam; you’re building a deeper understanding of your subjects, enhancing your problem-solving skills, and ultimately, setting yourself up for success in the demanding IISER Aptitude Test. Embrace this intelligent tool and transform your preparation journey towards a bright future in basic sciences!
Written By
Prateek Singh.
Last Updated – Febuary, 2026
About The Author
Prateek is a self-taught practitioner who believes the only real way to learn is by doing. He created IndiaShouldKnow.com from scratch, using AI as his primary learning partner to navigate everything from web development and UI/UX design to color theory and graphic engineering.
He works within the “engine room” of AI daily, using these tools to manage professional workflows including data visualization, digital marketing systems, and SEO architecture. Having personally tested and refined dozens of AI models across hundreds of real-world scenarios, Prateek focuses on the “how” behind the technology. He shares his self-taught workflows and prompting pillars to help others move past basic chat interactions and start using AI as a high-precision tool for their own goals.
FAQs About AI Use
Can I trust every answer an AI tool gives me for my studies?
A: No, you should not trust every answer completely. Think of an AI as a super-smart assistant that has read most of the internet—but not every book in the library is accurate.
AI can sometimes make mistakes, misunderstand your question, or use outdated information.
It can even “hallucinate,” which means it confidently makes up an answer that sounds real but is completely false.
Rule of Thumb: Use AI answers as a great starting point, but never as the final, absolute truth. Always double-check important facts.
How can I verify the information I get from an AI for my academic work?
A: Verifying information is a crucial skill. It’s like being a detective for facts. Here are four simple steps:
Check Your Course Material: Is the AI’s answer consistent with what your textbook, lecture notes, or professor says? This is your most reliable source.
Look for Reputable Sources: Ask the AI for its sources or search for the information online. Look for links from universities (.edu), government sites (.gov), respected news organizations, or published academic journals.
Cross-Reference: Ask a different AI the same question, or type your question into a standard search engine like Google. If multiple reliable sources give the same answer, it’s more likely to be correct.
Use Common Sense: If an answer seems too perfect, too strange, or too good to be true, be extra skeptical and investigate it further.
What is the difference between using AI for research and using it to plagiarize?
A: This is a very important difference. It’s all about who is doing the thinking.
Using AI for Research (Good ✅):
Brainstorming topics for a paper.
Asking for a simple explanation of a complex theory.
Finding keywords to use in your library search.
Getting feedback on your grammar and sentence structure.
You are using AI as a tool to help you think and write better.
Using AI to Plagiarize (Bad ❌):
Copying and pasting an AI-generated answer directly into your assignment.
Asking the AI to write an entire essay or paragraph for you.
Slightly rephrasing an AI’s answer and submitting it as your own original thought.
You are letting the AI do the thinking and work for you.
How can I use AI ethically to support my learning without violating my school's academic honesty policy?
A: Using AI ethically means using it to learn, not to cheat. Here’s how:
Know the Rules: First and foremost, read your school’s or professor’s policy on using AI tools. This is the most important step.
Be the Author: The final work you submit must be yours. Your ideas, your structure, and your arguments. Use AI as a guide, not the writer.
Do the Heavy Lifting: Use AI to understand a topic, but then close the chat and write your summary or solve the problem yourself to make sure you have actually learned it.
Be Transparent: If you used an AI in a significant way (like for brainstorming), ask your professor if you should mention it. Honesty is always the best policy.
Can an AI's answer be biased? How can I detect this in its responses?
A: Yes, an AI’s answer can definitely be biased. Since AI learns from the vast amount of text on the internet written by humans, it can pick up and repeat human biases.
Here’s how to spot potential bias:
Look for Opinions: Does the answer present a strong opinion as a fact?
Check for One-Sidedness: On a topic with multiple viewpoints (like politics or economics), does the AI only show one side of the argument?
Watch for Stereotypes: Does the answer use generalizations about groups of people based on their race, gender, nationality, or other characteristics?
To avoid being misled by bias, always try to get information from multiple, varied sources.
Is it safe to upload my personal notes, research papers, or assignments to an AI tool?
A: It is best to be very careful. You should not consider your conversations with most public AI tools to be private.
Many AI companies use your conversations to train their systems, which means employees or contractors might read them.
There is always a risk of data breaches or leaks.
A Simple Safety Rule: Do not upload or paste any sensitive information that you would not want a stranger to see. This includes:
Personal identification details.
Confidential research or unpublished papers.
Your school assignments before you submit them.
Any financial or private data.