Curated Placement Accelerator

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Stop drowning in endless resources. Prepare with structured roadmaps, hand-picked problems, custom-generated cheatsheets, and company-specific resources.

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DSA Web Dev AI Certs Hackathons

Preparation Domains

Select your target field to unlock premium roadmaps and resources.

2-Month Sprint Plan

High-speed accelerator focusing strictly on high-yield questions, core OA subjects, and immediate interview clearing.

✓ 2-Month Structured DSA Roadmap
✓ Custom-Generated Online Assessment (OA) Templates
✓ Core CS Concepts Summary (OS, DBMS)
✓ High-Frequency Company Question Bank

Unlocked ✓

2-Month Sprint Material

Syllabus Progress: 0%

🚀 Custom OA Template Code Boilerplates

📥 Download Detailed PDF Guide

Hello student! Let's talk about the clock. In coding tests, your primary enemy is time. C++ standard streams (cin/cout) synchronization can slow down your runtimes. To fix this, always use fast I/O optimizations as shown below. Let's study these boilerplates together.

C++ Competitive Programming Template

#include <bits/stdc++.h>
using namespace std;

#define fast_io ios_base::sync_with_stdio(false); cin.tie(NULL);
typedef long long ll;
typedef vector<int> vi;

void solve() {
    // Write code here
}

int main() {
    fast_io;
    int t = 1;
    cin >> t;
    while(t--) {
        solve();
    }
    return 0;
}

Python Binary Search Template

def binary_search_on_answer(low, high, condition_check):
    ans = -1
    while low <= high:
        mid = low + (high - low) // 2
        if condition_check(mid):
            ans = mid
            # Try to optimize further depending on min/max
            high = mid - 1
        else:
            low = mid + 1
    return ans

🖥️ Core CS Concepts Summary (OS & DBMS)

📥 Download Detailed PDF Guide

Welcome to the OS & DBMS tutorial block! Let's break down the complex terms into simple lessons as if we are studying in a classroom. Let's dive in.

Operating Systems (OS)

Process vs Thread: Imagine a Process as an independent factory building with its own workspace, and Threads as the individual workers sharing that same space. Since workers share the floor, they can talk instantly, but they might crash into each other (race conditions) without proper coordination (locks).
CPU Scheduling: The scheduler acts as a gatekeeper. FIFO handles processes in order. SJF handles the shortest task first (optimal, but requires predicting the future!). Round Robin gives everyone a small time slice (time quantum) in turns.
Deadlocks: This is like two cars meeting head-on on a one-lane bridge; neither can move forward or backward. Remember the four conditions: Mutual Exclusion, Hold & Wait, No Preemption, and Circular Wait.
Virtual Memory: When your RAM is full, the OS borrows space from the hard drive (Paging). Thrashing occurs when the OS spends all its time swapping pages in/out of storage instead of actually running your program!

Database Management Systems (DBMS)

SQL Joins:
- Inner Join: Matches rows present in both tables.
- Left Join: All rows from left table + matched rows from right.
- Right Join: All rows from right table + matched rows from left.
- Full Join: All rows when there is a match in either table.
ACID Properties: Think of ACID as the database safety net: Atomicity (all or nothing changes), Consistency (no broken rules), Isolation (independent runs), and Durability (saved changes remain even if the power cuts!).
Indexing: An index is like the index at the back of a textbook. It lets you find topics (rows) instantly, but writing new pages (inserts/updates) takes slightly longer because you have to update the index list too.

🏢 High-Frequency Company Questions

Google top asked questions:

1. Count Subarrays with Median K: Graph-based or prefix sum matching. Uses subarrays manipulations.
2. Longest Path in a Graph with constraints: Tree traversal DFS with memoization or Topological sort.
3. Dynamic Programming on Trees: (e.g. Tree Distances, Tree diameter).

Microsoft top asked questions:

1. Next Greater Element: Solved in O(N) using Monotonic Stacks.
2. Meeting Rooms II: Priority queues / sorting interval starts and ends.
3. LRU Cache: Hash map combined with a doubly linked list for O(1) actions.

Amazon top asked questions:

1. Word Search II: DFS graph search starting at character cells using a Trie.
2. Merge K Sorted Lists: Solve efficiently using min-heaps.
3. Rotting Oranges: Graph traversal BFS tracking shortest elapsed time.

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6-8 Month Mastery Plan

Complete full-stack path containing comprehensive concept learning, deep practice, system design, and large portfolios.

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✓ 250+ Hand-picked Practice Track
✓ Complete Low-Level & High-Level Design Modules
✓ Custom-Generated CS Core Notes & OA Libraries

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6-8 Month Mastery material

Syllabus Progress: 0%

🏛️ High-Level & Low-Level Design Basics

📥 Download Detailed PDF Guide

Welcome class! System design is where we transition from 'writing code' to 'building architectures'. Let's explore how we scale systems to handle millions of students.

High-Level Design (HLD)

Horizontal vs Vertical Scaling: Think of Vertical Scaling as buying a bigger, faster truck (more RAM/CPU) to carry packages. It works up to a limit, but if the truck breaks down, everything stops! Horizontal Scaling is like hiring a fleet of 50 smaller delivery vans. If one breaks down, the others carry the load.
Load Balancers: The dispatcher of your fleet. It takes incoming customer orders (traffic) and assigns them to active vans (servers) so no single driver gets overwhelmed.
Caching: Like keeping your favorite books on your desk instead of walking to the public library every time you need to read a page. We store hot database records in memory (Redis) to return them in milliseconds.
API Gateway: A security guard at the front gate. It checks guest IDs, limits how many people enter per minute (rate limiting), and routes them to the correct building (microservices).

Low-Level Design (LLD)

SOLID Principles: A blueprint for clean code:

Single Responsibility: One tool, one job (a hammer only hits nails).

Open/Closed: Plug-in modules (add features by adding new modules, don't re-wire the base system!).

Liskov Substitution: Child components must fit perfectly where parent components go.

Interface Segregation: Smaller custom panels (don't force a user to use a remote control with 100 unused buttons!).

Dependency Inversion: Plug into sockets (your lamp depends on the electrical outlet abstraction, not the concrete power grid!).
Common Design Patterns: Singleton (only one database connection manager), Factory (a factory that manufactures different types of payment cards), Observer (subscribers getting newsletters automatically when published).

🎯 Performance Targets & strict Rules

Platform	Target Metric	Purpose
LeetCode	450+ Solved (~100 Easy, ~300 Med, ~50 Hard)	Standard interview pattern recognition
Codeforces	~1200 - 1300 Rating (Pupil)	Speed under intense pressure
Contests	25+ Live Contests	Mocking Online Assessments

🛠️ strict Operational Rules:

The 45-Minute Bound: Spend 45 minutes trying to solve before checking solutions.
Upsolve Without Exception: If you miss problem C in a contest, code it the next day.
Weekly Code Review: Re-code 3 previously solved problems every Sunday from memory.

2-Month Web Development Plan

Accelerate your portfolio. Master advanced JavaScript, React architecture, Node servers, databases, and capstone deployments.

✓ 2-Month Web Dev Weekly Checklist
✓ Custom-Generated HTML, CSS, JS Cheatsheets
✓ Complete MERN Stack blueprints
✓ Web Dev Tutorials Playlist integration

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2-Month Web Dev Material

Syllabus Progress: 0%

📄 HTML Cheatsheet

📥 Download PDF Cheatsheet

HTML5 Boilerplate

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
</head>
<body>
    <!-- Content here -->
</body>
</html>

Headings & semantic Containers

<h1> to <h6>: Heading levels.
<div> (block container), <span> (inline container).
<header>, <nav>, <main>, <section>, <article>, <aside>, <footer>: Semantic tags.

Forms & Inputs

<input type="text">, type="password", type="email", type="checkbox", type="radio"
<select> / <option>: Dropdown selectors.
<textarea>: Multi-line text boxes.
<button type="submit">: Action triggers.

🎨 CSS Cheatsheet

📥 Download PDF Cheatsheet

Fonts & Text properties

font-family: 'Inter', sans-serif;
font-size: 1rem; (responsive with html base).
font-weight: bold; (or 100-900).
line-height: 1.5; (vertical spacing).
letter-spacing: 0.15em;

Box Model & display

box-sizing: border-box; (includes padding/border in calculations).
margin: 10px 20px;, padding: 5px 10px;
overflow: hidden / auto / scroll;
aspect-ratio: 16/9;

Flexbox Layout

.container {
    display: flex;
    flex-direction: row;
    justify-content: space-between;
    align-items: center;
    gap: 1rem;
}
.item {
    flex: 1;
}

CSS Grid Layout

.container {
    display: grid;
    grid-template-columns: repeat(3, 1fr);
    gap: 1.5rem;
}

Modern features

backdrop-filter: blur(10px); (glassmorphism filter).
font-size: clamp(1rem, 2vw, 1.5rem);

⚡ JavaScript Cheatsheet

📥 Download PDF Cheatsheet

Variables & functions

let name = "Harry"; (block scope, reassignable).
const PI = 3.14; (block scope, immutable).
const greet = (name) => `Hello, ${name}`;

DOM manipulations

document.querySelector('#id');
document.querySelectorAll('.class');
document.getElementById('element').textContent = "New text";

Arrays methods

const arr = [1, 2, 3];
arr.push(4); // Add to end
const doubled = arr.map(num => num * 2); // [2, 4, 6, 8]
const filtered = arr.filter(num => num > 2); // [3, 4]
const sum = arr.reduce((acc, cur) => acc + cur, 0); // 10

Async JavaScript (Promises & Await)

async function fetchData() {
    try {
        const res = await fetch('https://api.example.com');
        const data = await res.json();
        console.log(data);
    } catch(err) {
        console.error(err);
    }
}

🍃 MongoDB Cheatsheet

📥 Download PDF Cheatsheet

1. Database Commands

show dbs               // View all databases
use dbName             // Create or switch database
db                     // View current database
db.dropDatabase()      // Delete current database

2. Collection Commands

show collections       // Show collections
db.createCollection('comments')  // Create collection
db.comments.drop()     // Drop collection

3. Document Operations (CRUD)

db.comments.find()     // Find all documents
db.comments.find().pretty() // Find all with pretty spacing
db.comments.findOne({name: 'Harry'}) // Find matching item
db.comments.insertOne({
  name: 'Harry',
  lang: 'JavaScript',
  member_since: 5
})
db.comments.insertMany([
  {name: 'Harry', lang: 'JavaScript', member_since: 5},
  {name: 'Rohan', lang: 'Python', member_since: 3}
])

4. Query Operators

db.comments.find({member_since: {$lt: 90}})  // Less than
db.comments.find({member_since: {$gte: 90}}) // Greater than or equal
db.comments.find({$or: [{lang: 'Python'}, {lang: 'Java'}]}) // Logical OR
db.comments.find({lang: {$in: ['Python', 'Java']}}) // In array

5. Indexes & Aggregations

db.comments.createIndex({name: 1}) // Create index
db.comments.aggregate([
  {$group: {_id: "$lang", total: {$sum: 1}}} // Count grouped by field
])

🦄 Django Cheatsheet

📥 Download PDF Cheatsheet

1. Project Setup & Installation

pip install django                      // Install Django
django-admin --version                  // Check version
django-admin startproject projectName   // Create project
cd projectName
python manage.py runserver              // Start local server
python manage.py startapp appName       // Create app module

2. Django MVT (Model definition)

from django.db import models

class Product(models.Model):
    product_id = models.AutoField(primary_key=True)
    name = models.CharField(max_length=100)
    price = models.FloatField()
    created_at = models.DateTimeField(auto_now_add=True)

    def __str__(self):
        return self.name

3. URL Routing & Views

# views.py
from django.shortcuts import render
from django.http import HttpResponse

def index(request):
    return render(request, "index.html", {"name": "Harry"})

# urls.py
from django.urls import path
from . import views

urlpatterns = [
    path('', views.index, name='index'),
]

4. Database Migrations

python manage.py makemigrations // Generate database blueprints
python manage.py migrate        // Run actual migrations
python manage.py shell          // Open interactive Django shell

🐬 MySQL Cheatsheet

📥 Download PDF Cheatsheet

1. Database Access & Tables

SHOW DATABASES;             -- List all databases
USE database_name;          -- Switch active DB
SHOW TABLES;                -- List tables

CREATE TABLE users (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    age INT DEFAULT 18
);

2. Query operations (CRUD)

INSERT INTO users (name, age) VALUES ('Harry', 21);
SELECT * FROM users WHERE age > 18;
SELECT * FROM users WHERE name LIKE 'Ha%'; -- Pattern search
UPDATE users SET age = 22 WHERE id = 1;
DELETE FROM users WHERE id = 1;

3. SQL Joins

-- Inner Join
SELECT u.name, o.id FROM users u INNER JOIN orders o ON u.id = o.user_id;

-- Left Join
SELECT u.name, o.id FROM users u LEFT JOIN orders o ON u.id = o.user_id;

4. Indexes & Transactions

CREATE INDEX idx_name ON users(name); -- Create search index

START TRANSACTION;
UPDATE accounts SET balance = balance - 500 WHERE id = 1;
UPDATE accounts SET balance = balance + 500 WHERE id = 2;
COMMIT; -- Commit transaction changes (or ROLLBACK on failure)

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Ultimate Hackathon Guide

1. Pre-Hackathon Prep (48 – 24 hrs before)

Choose track early: Rank event challenges by domain interest, sponsor influence, and judging criteria weight.
Brainstorm 2-3 solid ideas per track: Use ChatGPT / Perplexity to riff 20+ prompts, then converge on top 3 with problem -> solution -> impact statements.
Validate with sponsors: Pitch your shortlist at the booths. Build whichever concept excites the actual sponsor judge.
Read API docs: Bookmark endpoints, authentication flow codes, and quota limits.

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Product Lead/Pitcher: Idea refinement, rubric mapping, demo setup.
Frontend Dev: UI/UX design (Next.js + Tailwind + Vercel v0).
Backend/DevOps: API endpoints, DB schema, deployments (Supabase/Vercel).
ML/AI Wrapper: LLM prompt integration (OpenAI API / Gemini).

3. Lightning-Fast Build Workflow (0 – 12 hrs)

Scaffold UI: Prompt v0, download resulting UI mockup as a zip file.
Let Cursor digest: Open folder in Cursor. Wait 5 minutes to let it index, then run queries.
Backend in one shot: Define DB schema in Supabase SQL editor. Ask Cursor to "Create Express routes for /signup, /login, /transactions using Supabase client".
Integrate Sponsor APIs: Keep to one flagship integration that demos well. Target MVP deployment in ≤ 5 hours.

4. Leveraging AI (Prompt Engineering 101)

Prompt engineering is the craft of framing and refining the inputs you give an AI model to get precise, useful outputs.

Assign a clear role ("You are an expert TypeScript engineer").
State your goal ("Generate an Express route to fetch user data").
Define desired output formats ("Return only valid code, no commentary").
Use few-shot examples or chain-of-thought prompts.

5. Nail the Presentation (Last 2 hrs)

Map slides to rubric: If Innovation counts for 30%, have a dedicated Innovation slide.
Hook the room: Open with a 15-second story or audience live poll.
Live Demo: Login -> Key Feature -> Wow moment (≤ 90 seconds). Have a backup pre-recorded Loom.

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Build a system that parses custom PDFs, indexes them into a vector database (ChromaDB), and queries LLMs (Anthropic Claude API) using semantically matching context.

Architecture: PDF Loader -> Text Chunking -> Embeddings (OpenAI) -> Vector Storage -> LLM Context Retrieval
Stack: Python, LangChain, ChromaDB, FastAPI, Streamlit

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Cut the Crowd.Secure Your Dream Offer.

Preparation Domains

2-Month Sprint Plan

2-Month Sprint Material

Week 1: Fundamentals & Essential Math

Week 2: Arrays & Binary Search

Week 3: Linked Lists, Stacks & Queues

Week 4: Trees (Binary Trees & BSTs)

Week 5: Graphs & Bit Manipulation

Week 6: Dynamic Programming (DP)

Week 7: Tries, Heaps & String Matching

Week 8: Mock Tests & Core CS Revision

🚀 Custom OA Template Code Boilerplates

C++ Competitive Programming Template

Python Binary Search Template

🖥️ Core CS Concepts Summary (OS & DBMS)

Operating Systems (OS)

Database Management Systems (DBMS)

🏢 High-Frequency Company Questions

Google top asked questions:

Microsoft top asked questions:

Amazon top asked questions:

6-8 Month Mastery Plan

6-8 Month Mastery material

Months 1–2: Language & Linear Structures

Months 3–4: Advanced Pointers, Recursion & Trees

Month 5: Greedy, Binary Search on Answer & Graphs

Month 6: Dynamic Programming, Tries & Heaps

Month 7: CS Core Fundamentals & SQL Database

Month 8: Company specific Grinding & Mock Tests

🏛️ High-Level & Low-Level Design Basics

High-Level Design (HLD)

Low-Level Design (LLD)

🎯 Performance Targets & strict Rules

🛠️ strict Operational Rules:

2-Month Web Development Plan

2-Month Web Dev Material

Week 1: Advanced JavaScript

Weeks 2–3: React.js (Frontend Mastery)

Weeks 4–5: Node.js & Express.js (Backend)

Week 6: Databases (MongoDB & Mongoose)

Week 7: Full Stack Integration

Week 8: Performance & System Design

📄 HTML Cheatsheet

HTML5 Boilerplate

Headings & semantic Containers

Forms & Inputs

🎨 CSS Cheatsheet

Fonts & Text properties

Box Model & display

Flexbox Layout

CSS Grid Layout

Modern features

⚡ JavaScript Cheatsheet

Variables & functions

DOM manipulations

Arrays methods

Async JavaScript (Promises & Await)

🍃 MongoDB Cheatsheet

1. Database Commands

2. Collection Commands

3. Document Operations (CRUD)

4. Query Operators

5. Indexes & Aggregations

🦄 Django Cheatsheet

1. Project Setup & Installation

2. Django MVT (Model definition)

3. URL Routing & Views

4. Database Migrations

🐬 MySQL Cheatsheet

1. Database Access & Tables

2. Query operations (CRUD)

3. SQL Joins

4. Indexes & Transactions

AI Certifications Directory

20 Curated AI Courses

Beginner courses:

Intermediate courses:

Advanced courses:

Hackathon Winning Guide

Cut the Crowd.
Secure Your Dream Offer.