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Tagged #freshers

GuideCareer

11 min read

Ship It: Deploy, Document and Make Your GitHub Easy to Read

A project only counts if a stranger can see it work. This article covers putting a student project online on free tiers, writing a README that answers a reviewer's questions in a minute, adding a simple architecture diagram, keeping secrets out of your repository, and setting up a GitHub profile that points straight at your best work.

GuideCareer

11 min read

Choose and Build a Project That Mirrors Your Target Companies

A project earns attention when it lives in the same problem space as the companies you want to join. This article shows how to read job descriptions and engineering blogs to find that space, how to pick a project with one genuinely hard part, how to scope it to three or four weeks, and how to build it with AI help while keeping the interesting decisions your own.

GuideCareer

10 min read

What Credibility Means for a Fresher: Proof of Work

Without an internship or a well-known college, your credibility comes from proof of work: things a stranger can open, run or read in a couple of minutes. This article explains the proof ladder, the four signals that matter most at entry level, what does not count, and how to make sure AI-assisted work still proves your own ability.

GuideCareer

11 min read

Your Pipeline Tracker and 10-Week Execution Plan

A job search without a tracker is guesswork. This article gives you the exact spreadsheet columns, status values and formulas to run an off-campus search, simple follow-up rules, a ten-minute Sunday review, and a milestone-based ten-week plan you can personalise with an AI prompt that respects your exams and real hours.

GuideCareer

11 min read

Funnel Maths and Your Master Target List

How many applications does one offer take? Nobody can tell you the true number for your profile, but simple funnel arithmetic shows why volume matters, why fixing your earliest weak stage matters even more, and how to measure your own rates. The second half builds a prioritised list of 60 to 80 real companies with AI help and a verification step.

GuideCareer

12 min read

Company Tiers and the Reach, Target, Safe Mix

Not every company hires freshers the same way. This article describes five broad kinds of employer in India, what their hiring processes usually test, how your profile maps onto them, and how to split applications across reach, target and safe companies so you keep getting interviews while still aiming high. It also covers roles beyond software development.

GuideCareer

12 min read

Honest Profile Assessment: Where You Stand and What to Fix First

Before you apply anywhere, find out what a recruiter sees when they read your profile. This article gives you a six-part self-assessment, a prompt that makes an AI assistant act as a blunt but evidence-bound reviewer, a way to separate gaps you can close in 30 days from constraints you must work around, and a single highest-leverage action for the next week.

GuideCareer

14 min read

Start Here: How Off-Campus Hiring Works and How to Use AI Honestly

The first article of a free 44-article course on landing your first tech job off campus. It explains the different ways companies hire freshers outside campus placements, when each one happens, the six-step Search Loop that organises the course, and five ground rules for using AI in a job search without inventing anything.

CourseCareer

8 min read

Off-Campus Placements With AI: From Zero to Offer

A free, 44-article course for freshers in India who are looking for their first tech job without campus placement. It covers the whole search: an honest assessment of where you stand, proof of work, resume and LinkedIn, finding roles early, referrals, online assessments, interview rounds, offers and negotiation, and what to do when rejections pile up. AI is used throughout as a coach and checker, never as a ghostwriter.

GuideTechnology

19 min read

Indian Fresher Placement and Coding Interview Preparation

How to prepare for campus placements and fresher hiring in India: aptitude rounds, online coding assessments with fast input and output, technical interviews, CS fundamentals, explaining trade-offs, debugging under pressure and discussing projects honestly.

GuideTechnology

18 min read

Your 12-Week DSA Study and Revision Plan

A realistic week-by-week plan for working through this course around college or a job: what to learn, implement, practise and revise each week, with timed sessions, mock interviews, a spaced-revision schedule, and lighter and more intensive alternatives.

GuideTechnology

24 min read

Build a DSA Practice Project

Build a small, complete Java project that uses many data structures together: a practice tracker with spaced-repetition reviews, undo, title autocomplete and a prerequisite-based study order. Requirements, design, milestones, test cases and extension ideas, with no paid services.

GuideTechnology

23 min read

The Interview Problem-Solving Workflow

A step-by-step routine for coding interviews: clarify, work examples, state a brute force, optimize, agree on a plan, code, test and analyze. Includes a full sample dialogue, advice on getting unstuck, and checklists you can use in mock interviews.

GuideTechnology

22 min read

Range Queries and Disjoint Set Union

What to do when prefix sums are not enough: Fenwick and segment trees for range queries with updates (optional depth), and disjoint set union with path compression and union by size for connectivity, cycles and Kruskal's algorithm (the part worth knowing).

GuideTechnology

19 min read

Tries and Prefix-Based Search

A trie stores words so that shared prefixes share nodes, making insert, exact search and prefix search take time proportional to the word length. Build one in Java, compare array and map nodes, and use it for autocomplete, wildcards and shortest-prefix replacement.

GuideTechnology

21 min read

Dynamic Programming Practice: From 1D to 2D

Apply the six-step DP workflow to climbing stairs, house robber, grid paths and the longest common subsequence. For each: state, transition, base cases, evaluation order, complexity and why it is correct, with full tables and reconstruction.

GuideTechnology

20 min read

Dynamic Programming: Learn to Recognize Overlapping Subproblems

Dynamic programming is recursion that remembers. Learn overlapping subproblems and optimal substructure, memoization and tabulation on Fibonacci, a repeatable six-step formulation workflow, and the coin change problem that greedy cannot solve.

GuideTechnology

24 min read

Shortest Paths and Topological Sorting

When BFS is enough and when it is not, Dijkstra's algorithm with a priority queue and its non-negative-weight limit, a glance at Bellman-Ford, and topological sorting with Kahn's algorithm and DFS for dependency order, including how to detect impossible orders.