A CV review is a structured evaluation of your resume by someone who understands what recruiters look for. It checks whether your CV is ATS-friendly, whether your achievements are quantified, whether the formatting is clean, and whether your skills match the roles you are targeting. A proper review ends with specific corrections, so you know exactly what to fix before applying.

Start by matching your resume against the job description, then check that the formatting is ATS-friendly, bullet points show quantified achievements instead of just duties, the length stays within one to two pages, and there are no spelling or grammar errors. If you are unsure, a second pair of eyes — a mentor, senior, or professional reviewer — usually catches blind spots you cannot see in your own resume.

Paste your resume along with the target job description, then use a resume review prompt that asks the AI to act as a hiring manager for that role and list missing keywords, weak bullet points, and formatting problems. Refine the output through follow-up questions. Keep in mind that AI feedback is generic — it does not know recruiter expectations in your specific industry — so treat it as a first-pass check and pair it with a human review for the final version.

You can get free feedback from AI tools, friends and seniors, Reddit or Telegram job communities, and college placement cells. These are fine for catching basic errors, but the quality is inconsistent and nobody is accountable for depth. If your resume is not getting interview calls, a paid 1:1 session with an industry mentor — such as Souvik Ghosh, who offers Resume Review calls backed by 6+ years of IT experience — gives you line-by-line, experience-based corrections.

At minimum, it should cover ATS compatibility, keyword alignment with your target roles, rewriting bullets into quantified achievements, fixing structure and formatting, removing filler content, and honest feedback on how gaps or frequent switches are presented. A good reviewer also explains why each change matters so you can maintain the resume yourself later. If someone only runs your resume through software and sends a score, that is not a real review.

It usually refers to getting your resume critiqued through LinkedIn — asking connections or seniors for feedback, sharing it in career groups, or booking a mentor who does resume reviews over 1:1 calls. Some mentors review your resume live on a call and correct it on the spot. The catch with open feedback is that anyone can comment regardless of hiring experience, so always weigh advice by the reviewer's actual industry background.

The mock interview meaning is simple: it is a simulated version of a real interview, conducted before the actual one, with the same structure, similar questions, and similar pressure. A mentor or peer plays the interviewer, asks HR, technical, and behavioral questions, and then gives feedback on your answers, communication, and body language. The goal is to make your mistakes during practice, not during the interview that counts.

Very useful. Freshers often lose opportunities not because of weak knowledge but because they have never faced a real interview — they ramble through "tell me about yourself," struggle to explain projects, and panic at follow-up questions. A mock interview for freshers fixes exactly this: you learn to structure answers, present academic projects and internships clearly, and receive honest feedback before campus placements or off-campus drives. Even two or three sessions noticeably improve confidence.

Free options include AI chatbots that role-play as interviewers, practicing with friends over video calls, and recording yourself answering common questions and reviewing the playback. These build fluency, but they have limits — a friend or AI will not probe your answers the way a real interviewer does or tell you exactly where you lost points. For high-stakes interviews, one session with an experienced mentor exposes problems that free practice rarely surfaces.

Share the job description and your resume with ChatGPT, then ask it to interview you one question at a time for that role. Answer in full spoken sentences rather than short points, and ask it to rate each answer and highlight what a recruiter might challenge. A mock interview with AI is a great warm-up, but it cannot judge your tone, confidence, or body language the way a mentor-led mock can — so use it as practice, not as the final rehearsal.

They are the questions an interviewer asks during a practice session, mirroring a real interview: "Tell me about yourself," strengths and weaknesses, "Why should we hire you?", detailed project explanations, behavioral situations answered using the STAR method, and role-specific technical questions. Good mock sessions also include follow-up probes, because real interviewers rarely stop at your first answer. Practicing these out loud — not just reading them — is what builds recall under pressure.

If you are unsure how to practice interview questions, start from the job description: list the 10–12 questions most likely for that role, write STAR-format stories around your projects and achievements, then say the answers out loud or record yourself. Silent reading feels productive but does not build recall. Finish with at least one live mock with a mentor or peer, because speaking under pressure is a separate skill from simply knowing the answer.

It is the process of updating your LinkedIn profile so recruiters actually find it in search — a keyword-rich headline, an About section built around your skills and target roles, experience entries with measurable results, relevant skills listed in order, and a professional photo. In India, most IT and corporate recruiters source candidates directly through LinkedIn search, so an unoptimized profile stays invisible even if you are a strong candidate.

Start with the headline — add your role, core skills, and value proposition instead of just a job title. Rewrite the About section with your target keywords placed naturally, quantify achievements in every experience entry, reorder your skills by relevance, use a clear photo and banner, and set your industry and location correctly. Then stay active through posts and comments, because consistent activity increases your visibility to both recruiters and LinkedIn's search algorithm.

Free tools and checkers flag surface issues like photo quality, headline length, or missing skills, but they do not know your target role or how recruiters in your field actually search. A paid service, usually a 1:1 review with a mentor, rewrites your headline and About section around your specific goals, fixes your experience section, and explains what recruiters in your niche look for. For a serious job switch, the tailored version typically generates far more recruiter interest than a generic tool report.