Related : Preparation
Related : Preparation
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Related : Preparation
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Google’s NotebookLM (formerly known as Project Tailwind) is an innovative AI tool designed to transform how you interact with your research material. It helps you turn sources like PDFs, Docs, Slides, web URLs, transcripts, and images into interactive Q&As, summaries, mind maps, study guides, and even AI-generated podcast-style audio.
Let’s explore everything you need to know about NotebookLM.
NotebookLM is a personalized AI notebook powered by Google’s Gemini models. It allows you to create digital notebooks by uploading your own sources—then uses those sources to answer questions, generate summaries, and help you study or research more effectively.
Originally launched as Project Tailwind, it was rebranded and released to the public in 2023. As of now, it’s available in over 200 countries and supports many languages.
NotebookLM can generate a podcast-style audio summary of your content, narrated by two AI hosts. You can listen, download, or interact in real time with this feature.
Automatically generate study guides, outlines, timelines, FAQs, and briefing documents from your uploaded sources.
Ask NotebookLM questions and get precise answers, complete with clickable citations to the original documents.
Visualize key ideas and relationships across your materials using AI-generated mind maps.
Describe a topic and NotebookLM will suggest relevant documents, articles, or other resources to help you build your notebook faster.
NotebookLM is available on Android and iOS. You can access your notebooks, listen to AI audio, and upload content from your phone.
Here’s a quick step-by-step guide to getting started:
Google NotebookLM is changing how we interact with information. By blending generative AI with research tools, it enables students, professionals, and creators to unlock deeper understanding and faster insights from their personal libraries.
Whether you’re preparing for an exam, writing a report, or exploring a new topic, NotebookLM can help you stay organized, informed, and inspired—all in one place.
Start your journey with NotebookLM today and let AI power your next big idea.
In today’s digital age, managing information effectively is more important than ever. Whether you’re a student, writer, researcher, or professional, keeping track of notes, ideas, and knowledge can be a daunting task. That’s where Obsidian comes in — a powerful, flexible, and free note-taking app that’s redefining how we manage personal knowledge.
Obsidian is a Markdown-based note-taking and knowledge management app that turns a collection of plain text files into a rich, interlinked knowledge base. It’s often described as a “second brain” — a tool to help you store, organize, and connect your thoughts over time.
Created by Shida Li and Erica Xu, Obsidian has gained popularity for its emphasis on local-first storage, backlinks, and graph-based note linking, making it perfect for building your own “personal wiki.”
# for headers, **bold**, *italic*, [[link to another note]] to connect notes).[[ and the name of another note to create a link.Obsidian is more than just a note-taking app — it’s a tool to build your second brain, unlock your creativity, and organize your thoughts in a way that evolves with you. Whether you’re managing a complex research project or just keeping track of your daily thoughts, Obsidian offers a powerful, flexible platform to make your digital thinking clear and organized.
Start small. Write one note today. Link it to another tomorrow. Let your ideas grow like a garden.
| Year | Linear Algebra | Calculus & Differential Equations | Complex Analysis & Transforms | Probability & Statistics | Numerical Methods & Others | Approx. Total Marks |
|---|---|---|---|---|---|---|
| 2018 | Matrix Algebra, Eigenvalues (3m) | Limits, Continuity, Differentiation, ODEs (5m) | Complex Numbers, Laplace Transform (3m) | Probability Distributions (2m) | Numerical Methods (2m) | ~15 |
| 2019 | Linear Systems, Vector Spaces (4m) | Integral Calculus, Partial Derivatives, PDEs (4m) | Fourier Series & Transforms (3m) | Statistics & Probability (3m) | Numerical Integration & Root Finding (1m) | ~15 |
| 2020 | Eigenvalues, Orthogonal Matrices (3m) | Calculus of Several Variables, ODEs (5m) | Complex Integration, Laplace (3m) | Random Variables, Distributions (2m) | Numerical Solution of ODEs (2m) | ~15 |
| 2021 | Vector Spaces, Diagonalization (4m) | Multivariate Calculus, PDEs (4m) | Fourier Series, Z-transform (3m) | Probability & Statistics (3m) | Numerical Linear Algebra (1m) | ~15 |
| 2022 | Matrix Theory, Eigenvalue Problems (3m) | Differential Equations, Limits & Continuity (4m) | Complex Analysis, Laplace Transforms (3m) | Statistics & Probability (3m) | Numerical Methods (2m) | ~15 |
| 2023 | Linear Algebra, Eigenvalues (3m) | Calculus (limits, ODEs) (5m) | Fourier, Laplace & Z-Transforms (3m) | Probability, Statistics (2m) | Numerical Solutions & Interpolation (2m) | ~15 |
| 2024* | Estimated similar linear algebra topics (3m) | Estimated Calculus & ODE topics (5m) | Estimated Transforms & Complex Analysis (3m) | Estimated Probability & Statistics (2m) | Estimated Numerical Methods (2m) | ~15 |
| 2025* | Projected stable topics in Linear Algebra | Projected Calculus & ODEs | Projected Fourier, Laplace & Z-transforms | Projected Probability & Statistics | Projected Numerical Methods | ~15 |
| Year | Engineering Mechanics | Mechanics of Materials | Theory of Machines | Vibrations | Machine Design | Approx. Total Marks |
|---|---|---|---|---|---|---|
| 2018 | FBD, Equilibrium (2m), Friction (1m) | Stress-Strain, Mohr’s circle, Beams SFD/BMD (5m), Torsion (2m), Columns (2m) | Linkages (2m), Gears (1m), Balancing (2m) | Free vibration (2m), Damping (3m) | Fatigue, Springs, Bolted Joints (4m) | ~26 |
| 2019 | FBD & Virtual Work (3m), Friction (1m) | Beam Deflection (4m), Thin Cylinders (2m), Thermal Stress (3m) | Cams (3m), Flywheels (2m), Governors (2m), Gyroscope (2m) | Forced vibration (2m), Resonance (1m) | Failure Theories (3m), Welded Joints (3m) | ~32 |
| 2020 | Equilibrium & Trusses (2m), Simple Machines (2m) | Mohr’s Circle (2m), Beam Bending (2m), Torsion (1m) | Gear Trains (3m), Dynamic Analysis of Linkages (2m), Balancing (3m) | Free vibration (2m), Critical Speed (1m) | Bearings (2m), Clutches & Brakes (4m) | ~25 |
| 2021 | FBD & Equilibrium (2m), Virtual Work (1m), Friction (2m) | SFD/BMD (3m), Beam Deflection (3m), Columns (2m), Energy Methods (1m) | Linkage kinematics (2m), Flywheels (3m), Governors (2m), Cams (1m) | Damping & Resonance (3m), Vibration Isolation (1m) | Springs (3m), Fatigue (2m) | ~32 |
| 2022 | FBD & Friction (4m), Simple Machines (2m) | Beams & Columns (3m), Thin Cylinders (2m), Thermal Stresses (1m) | Gear Trains (3m), Balancing (3m), Gyroscope (2m) | Forced Vibration (3m), Critical Speed (3m) | Bolted Joints (2m), Welded Joints (1m) | ~29 |
| 2023 | FBD (1m), Trusses (1m), Friction (1m) | Mohr’s Circle (2m), Beam Bending & Shear (4m), Torsion (2m), Columns (2m) | Cams (3m), Linkages (3m), Balancing (2m), Governors (2m) | Free & Forced Vibrations (4m) | Failure Theories (2m), Springs & Bearings (3m) | ~34 |
| 2024* | Estimated FBD & Equilibrium (3m), Friction (2m) | Estimated Beam Deflection (4m), Torsion (2m), Columns (2m) | Estimated Linkage Kinematics (3m), Cams (2m), Gear Trains (3m) | Estimated Vibrations (4m) | Estimated Machine Design (5m) | ~24 |
| 2025* | Projected similar topics to 2023-24 | Projected similar distribution | Projected similar distribution | Projected similar distribution | Projected similar distribution | ~27-32 |
| Year | Fluid Mechanics | Thermodynamics & Thermal Sciences | Heat Transfer | IC Engines & Compressors | Approx. Total Marks |
|---|---|---|---|---|---|
| 2018 | Fluid Statics, Bernoulli, Laminar/Turbulent Flow | First Law, Second Law, Entropy, Carnot Cycle | Conduction (1D), Convection (forced/natural) | Air Compressor, SI/CI Engines | ~28 |
| 2019 | Control Volume Analysis, Boundary Layer, Dimensional Analysis | Air Standard Cycles, Thermodynamic Relations, Entropy, Psychrometry | Radiation basics, Heat Exchangers | IC Engines, Compressors, Nozzle Flow | ~30 |
| 2020 | Pipe Flow, Head Loss, Flow Measurement, Pumps | Properties of Pure Substances, Gas Mixtures, Exergy Analysis | Extended Surfaces, Transient Heat Conduction | Gas Turbines, IC Engines, Compressors | ~27 |
| 2021 | Inviscid Flow, Flow around Bodies, Turbomachinery | Second Law Applications, Vapor Power Cycle, Refrigeration Cycles | Combined Modes, Heat Exchangers, Lumped Capacitance Method | IC Engines, Nozzle & Diffuser Analysis | ~29 |
| 2022 | Flow in Pipes & Channels, Pumps, Compressible Flow | Entropy Generation, Gas Mixtures, Psychrometrics, Combustion | Radiation, Convection, Heat Transfer in Extended Surfaces | IC Engines, Compressors, Gas Turbines | ~28 |
| 2023 | Boundary Layer, Flow Measurement, Pumps, Compressible Flow | Air Standard Cycles, Entropy, Refrigeration Cycles, Gas Mixtures | Conduction, Convection, Heat Exchanger Analysis | IC Engines, Compressors, Turbomachinery | ~31 |
| 2024* | Estimated similar to 2023 topics | Estimated similar core thermodynamics & cycles | Estimated combined heat transfer topics | Estimated IC Engines and compressors | ~28 |
| 2025* | Projected stable topics (fluids + turbomachinery) | Projected stable thermodynamics + refrigeration + psychrometrics | Projected stable heat transfer + radiation | Projected stable IC Engines & compressors | ~30 |
| Year | Manufacturing Processes | Production Planning & Control | Operations Research & Inventory | Quality Control & Reliability | Approx. Total Marks |
|---|---|---|---|---|---|
| 2018 | Casting, Welding, Machining | Forecasting, Scheduling | Linear Programming, Queuing Theory | Statistical Quality Control, Reliability Basics | ~20 |
| 2019 | Forming, Machining, Welding | Inventory Control, MRP | Transportation Problem, PERT/CPM | Control Charts, Acceptance Sampling | ~22 |
| 2020 | Casting, Machining, Forming | Aggregate Planning, Capacity Planning | Network Models, Game Theory | Reliability, Design of Experiments | ~18 |
| 2021 | Machining, Welding, CNC | Scheduling, Production Control | Linear Programming, Queuing Theory | Process Capability, SPC, ISO Standards | ~21 |
| 2022 | Casting, Forming, Additive Manufacturing | Inventory Management, MRP | Transportation Problem, PERT/CPM | Quality Control Charts, Reliability | ~20 |
| 2023 | Welding, Machining, Metal Forming | Forecasting, Aggregate Planning | Network Models, Inventory Models | SPC, Acceptance Sampling | ~23 |
| 2024* | Estimated combination of 2023 topics | Estimated Production Planning & Control | Estimated OR models | Estimated Quality Control & Reliability | ~21 |
| 2025* | Projected stable topics | Projected steady focus areas | Projected steady OR & Inventory focus | Projected Quality & Reliability topics | ~22 |
Reliability engineering fundamentals
Statistical Process Control (SPC) charts
Acceptance sampling
Process capability analysis
| Year | Verbal Ability | Numerical Ability | Approx. Total Marks |
|---|---|---|---|
| 2018 | Grammar (5m), Sentence Completion (3m), Verbal Reasoning (2m) | Data Interpretation, Number Series (3m) | ~10 |
| 2019 | Verbal Reasoning, Grammar, Analogies (5m), Reading Comprehension (2m) | Data Interpretation, Arithmetic (3m) | ~10 |
| 2020 | Sentence Completion, Synonyms/Antonyms, Verbal Reasoning (6m) | Data Interpretation, Number Systems (2m) | ~10 |
| 2021 | Grammar, Logical Reasoning, Sentence Correction (5m) | Percentages, Ratio & Proportion, Data Interpretation (3m) | ~10 |
| 2022 | Reading Comprehension, Sentence Completion, Synonyms (5m) | Simple Interest, Time & Work, Data Interpretation (3m) | ~10 |
| 2023 | Verbal Reasoning, Grammar, Sentence Completion (5m) | Number Series, Data Interpretation, Profit & Loss (3m) | ~10 |
| 2024* | Estimated similar Verbal Ability topics | Estimated similar Numerical Ability topics | ~10 |
| 2025* | Projected similar Verbal Ability topics | Projected similar Numerical Ability topics | ~10 |
OpenAI is an artificial intelligence research and deployment company founded in December 2015. Its mission is to ensure that artificial general intelligence (AGI) — highly autonomous systems that outperform humans at most tasks — benefits all of humanity.
Initially launched as a non-profit by tech leaders including Elon Musk, Sam Altman, and Ilya Sutskever, OpenAI later transitioned into a “capped-profit” company to attract the funding required for large-scale AI research, while still staying committed to safety and ethical goals.
OpenAI is known for its groundbreaking advancements in natural language processing, multimodal AI, and machine learning safety. It has developed world-renowned models like:
With AI rapidly becoming part of everyday life, OpenAI is at the forefront of how these systems are designed, deployed, and governed.
OpenAI continues to push the frontier of what AI can do while promoting safety and global cooperation. Upcoming focus areas include:
In the world of digital art and 3D content creation, few tools are as versatile, powerful, and community-driven as Blender. It’s free, open-source, and used by hobbyists, professionals, and studios alike. Whether you’re interested in modeling, animation, VFX, game development, or even 2D animation, Blender has something for you.
But what exactly is Blender? How do you use it? And how can you become part of its vibrant community?
Let’s dive in.
Blender is a free and open-source 3D creation suite. It supports the entire 3D pipeline, including:
Blender is licensed under the GNU General Public License (GPL), which means anyone can use, modify, and distribute it freely.
Blender can feel overwhelming at first, but learning the UI and workflow is the first step:
G = grab/move, S = scale, R = rotate).One of Blender’s greatest strengths is its community:
Blender also hosts the Blender Conference annually, where developers and artists gather to showcase projects, give talks, and shape Blender’s future.
Blender is more than just a tool—it’s a movement. Its open-source foundation empowers artists to create without barriers. With continuous development, an inspiring community, and industry-grade capabilities, Blender is redefining what’s possible in digital creation.
A step-by-step guide to installing and using the powerful gated model from Hugging Face.
FLUX.1-schnell is a cutting-edge image generation model developed by Black Forest Labs. It builds on Hugging Face’s diffusers framework and offers high-performance, fast image synthesis — ideal for creatives, researchers, and developers alike.
However, it’s a gated model, which means you need to request access before using it.
git clone https://github.com/black-forest-labs/flux.git
cd flux2. Set Up a Virtual Environment
sudo apt install python3.10-venv # If needed
python3 -m venv venv
source venv/bin/activateCreate a requirements.txt file with the following:
torch
transformers
accelerate
safetensors
sentencepiece
git+https://github.com/huggingface/diffusers.git
Then install:
pip install -r requirements.txt
After installation, create a file named generate_image.py with the following code:
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-schnell",
use_auth_token=True, # Uses your Hugging Face CLI login
torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()
image = pipe(
prompt="A futuristic cityscape at night",
output_type="pil",
num_inference_steps=4,
generator=torch.Generator("cpu").manual_seed(42)
).images[0]
image.save("flux_image.png")To run the script:
python3 generate_image.pyRun this command once to authenticate with Hugging Face:
pip install huggingface_hub
huggingface-cli loginPaste your token from: huggingface.co/settings/tokens
The script will generate an image like this and save it as flux_image.png. You can customize the prompt, seed, and steps to create different styles.
FLUX.1-schnell is a powerful model that rivals other image generators in speed and quality. While access is gated, setup is straightforward, and the creative potential is huge.
Whether you’re an artist, developer, or AI enthusiast — this model is definitely worth exploring.
Here’s the official GATE 2025 Mechanical Engineering (ME) syllabus, along with key details to help you prepare effectively:
Linear Algebra: Matrix algebra, systems of linear equations, eigen values and eigen vectors.
Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems,indeterminate forms; evaluation of definite and improper integrals; double and triple integrals;partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima,Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes and Green’s theorems.
Differential Equations: First order equations (linear and nonlinear); higher order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave and Laplace’s equations.
Complex Variables: Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.
Probability and Statistics: Definitions of probability, sampling theorems, conditional probability; mean, median, mode and standard deviation; random variables, binomial, Poisson and normal distributions.
Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations.
Engineering Mechanics: Free-body diagrams and equilibrium; friction and its applications including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and
momentum (linear and angular) and energy formulations; Lagrange’s equation.
Mechanics of Materials: Stress and strain, elastic constants, Poisson’s ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and shear stresses; concept of shear centre; deflection of beams; torsion of circular shafts; Euler’s theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of materials with universal testing machine; testing of hardness and impact strength.
Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.
Vibrations: Free and forced vibration of single degree of freedom systems, effect of damping;vibration isolation; resonance; critical speeds of shafts.
Machine Design: Design for static and dynamic loading; failure theories; fatigue strength and the S-N diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs.
Fluid Mechanics: Fluid properties; fluid statics, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings; basics of compressible fluid flow.
Heat Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system,Heisler’s charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, Stefan-Boltzmann law, Wien’s displacement law, black and grey surfaces, view factors, radiation network analysis.
Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behavior of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.
Applications: Power Engineering: Air and gas compressors; vapour and gas power cycles,concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties of moist air,psychrometric chart, basic psychrometric processes. Turbomachinery: Impulse and reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines; steam and gas turbines.
Engineering Materials: Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials.
Casting, Forming and Joining Processes: Different types of castings, design of patterns, moulds and cores; solidification and cooling; riser and gating design. Plastic deformation and yield criteria;fundamentals of hot and cold working processes; load estimation for bulk (forging, rolling,extrusion, drawing) and sheet (shearing, deep drawing, bending) metal forming processes;principles of powder metallurgy. Principles of welding, brazing, soldering and adhesive bonding.
Machining and Machine Tool Operations: Mechanics of machining; basic machine tools; single and multi-point cutting tools, tool geometry and materials, tool life and wear; economics of machining; principles of non-traditional machining processes; principles of work holding, jigs and fixtures; abrasive machining processes; NC/CNC machines and CNC programming.
Metrology and Inspection: Limits, fits and tolerances; linear and angular measurements; comparators; interferometry; form and finish measurement; alignment and testing methods;tolerance analysis in manufacturing and assembly; concepts of coordinate-measuring machine(CMM).
Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration tools;additive manufacturing.
Production Planning and Control: Forecasting models, aggregate production planning, scheduling,materials requirement planning; lean manufacturing.
Inventory Control: Deterministic models; safety stock inventory control systems.
Operations Research: Linear programming, simplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM.
| Year | Engineering Mathematics | Applied Mechanics & Design | Fluid Mechanics & Thermal Sciences | Manufacturing & Industrial Engineering | General Aptitude |
|---|---|---|---|---|---|
| 2015 | 15 | 20 | 30 | 25 | 15 |
| 2016 | 13 | 22 | 28 | 27 | 15 |
| 2017 | 14 | 21 | 29 | 26 | 15 |
| 2018 | 13 | 23 | 31 | 24 | 15 |
| 2019 | 13 | 24 | 32 | 23 | 15 |
| 2020 | 13.5 | 23.5 | 32.5 | 23 | 15 |
| 2021 | 13 | 24 | 33 | 22 | 15 |
| 2022 | 13 | 25 | 34 | 21 | 15 |
| 2023 | 13 | 24.5 | 33.5 | 22 | 15 |
| 2024 | 13 | 24 | 33 | 23 | 15 |
| 2025 | 13 | 23 | 32 | 24 | 15 |
Are you aiming to crack the GATE Mechanical Engineering (ME) exam? Whether your goal is a top PSU job, admission to premier IITs/NITs, or a solid GATE score, this guide will walk you through everything — from syllabus breakdown to study strategies, book recommendations, and time management.
The Graduate Aptitude Test in Engineering (GATE) is a national-level competitive exam that tests the understanding of engineering concepts across various disciplines. GATE ME is one of the most popular and competitive papers due to its broad applications in government jobs and higher studies.
Before diving into preparation, it’s crucial to understand the exam format:
Here’s a breakdown of the key subjects and their approximate weightage based on past year trends:
| Subject | Approx. Weightage |
|---|---|
| Engineering Mathematics | 13–15 marks |
| Strength of Materials (SOM) | 7–9 marks |
| Theory of Machines (TOM) | 6–8 marks |
| Machine Design | 2–3 marks |
| Fluid Mechanics (FM) | 6–8 marks |
| Thermodynamics & Heat Transfer | 10–12 marks |
| Manufacturing Engineering | 10–12 marks |
| Industrial Engineering | 3–5 marks |
Here’s a realistic 6-month preparation plan, assuming you start from scratch:
Here are some must-have books for each subject:
| Subject | Recommended Book |
|---|---|
| Thermodynamics | P.K. Nag / Cengel |
| Strength of Materials | Gere & Timoshenko / B.C. Punmia |
| Theory of Machines | S.S. Rattan |
| Fluid Mechanics | R.K. Bansal / Cengel |
| Heat Transfer | J.P. Holman |
| Machine Design | V.B. Bhandari |
| Manufacturing | P.N. Rao / Amitabh Ghosh |
| Industrial Engineering | O.P. Khanna |
| Engineering Mathematics | B.S. Grewal |
| General Aptitude | Made Easy Handbook / RS Aggarwal |
Preparing for GATE ME is a journey that demands patience, discipline, and smart strategy. Stick to your plan, focus on conceptual clarity, and keep testing yourself regularly. Whether you’re targeting IITs, NITs, or PSUs, this plan will set you on the right track.
001 Charles Darwin
Only the fittest will survive.
002 Steve Job
Think Different.
003 Jack Dorsey
The greatest lesson that I learned in all of this is that you have to start.Start now,start here,and start small.Keep it Simple.