What is PlacementPreps?

PlacementPreps is a free campus placement preparation platform for engineering students (2026–2028 batches). It provides company-specific prep materials, aptitude tests, coding practice, mock interviews, AI resume builder, DSA trackers, and HR interview preparation for 31+ companies including TCS, Infosys, Wipro, Accenture, Cognizant, Capgemini, and more.

Which companies are covered on PlacementPreps?

PlacementPreps covers 31+ companies including TCS NQT, Infosys HackWithInfy, Wipro WILP, Accenture Aptitude, Cognizant GenC, Capgemini Assessment, HCL TechBee, Tech Mahindra, LTI Mindtree, Persistent Systems, Mphasis, Hexaware, Dell, IBM, Oracle, SAP Labs, Adobe, Amazon, Flipkart, Goldman Sachs, Morgan Stanley, and more. Each company page includes exam patterns, salary packages, eligibility criteria, coding questions, and preparation roadmaps.

How do I prepare for campus placements in 2026?

Start with these 5 steps: (1) Identify target companies using the eligibility checker, (2) Practice aptitude (quantitative, logical, verbal) for 2–3 months, (3) Master DSA basics — arrays, strings, sorting, searching — using the DSA Progress Tracker, (4) Build 2–3 projects for your resume using the AI Resume Builder, (5) Practice mock interviews (technical + HR) weekly. Use company-specific prep guides for TCS NQT, Infosys, Wipro, Cognizant, and other target companies.

Is PlacementPreps free?

Yes, PlacementPreps is free. Core features include company prep guides, aptitude simulators, coding practice, eligibility checker, resume templates, DSA tracker, and contest calendar — all at no cost. Premium add-ons like downloadable PDF question banks (₹9–79) and advanced mock interview credits are optional.

What is the syllabus for TCS NQT, Infosys, and Wipro placements?

TCS NQT 2026: Numerical Ability (25 questions), Verbal Ability (25 questions), Reasoning Ability (25 questions), Advanced Coding (2 problems). Infosys HackWithInfy: 3-hour coding round with 3 problems (Easy, Medium, Hard) + MCQs. Wipro WILP: Quantitative (20 questions), Analytical (20 questions), Verbal (20 questions), Essay Writing. All three test DSA fundamentals (arrays, strings, sorting) and aptitude (percentages, ratios, time-speed-distance, blood relations, syllogisms).

How can I check my eligibility for company placements?

Use the Company Eligibility Checker on PlacementPreps. Enter your CGPA, branch, backlogs, and target batch — the tool instantly shows which of 31+ companies you qualify for. Most service companies require 60% (6.0 CGPA) minimum with ≤1 backlog. Product companies like Amazon and Flipkart require 7.0+ CGPA with 0 backlogs.

What are the best coding platforms for placement preparation?

For campus placements: (1) LeetCode — solve 150+ Easy/Medium problems for service companies (TCS, Infosys, Wipro); 200+ Medium/Hard for product companies (Amazon, Flipkart), (2) Codeforces — build algorithmic speed with Div. 2 contests, (3) CodeChef — beginner-friendly with structured difficulty levels, (4) HackerRank — company-specific practice tests. PlacementPreps Contest Calendar tracks all upcoming contests with countdown timers.

What is the salary package for TCS, Infosys, and Wipro freshers in 2026?

TCS NQT 2026: Ninja (₹3.36–7 LPA), Digital (₹7–9 LPA), Prime (₹9–14 LPA). Infosys 2026: Systems Engineer (₹3.6–4 LPA), Digital Specialist Engineer (₹6.25 LPA), Specialist Programmer via HackWithInfy (₹9.5–11 LPA), Power Programmer (₹10–12 LPA). Wipro WILP 2026: ₹15,000/month stipend in Year 1 rising to ₹23,000 in Year 4, then ₹6+ LPA post-M.Tech. Top performers in hackathons like Flipkart GRiD earn up to ₹32.67 LPA.

Are there any upcoming hackathons for students in 2026?

Yes. Major hackathons in 2026 include Flipkart GRiD 8.0 (₹1L/month stipend, ₹32.67L CTC), Amazon HackOn (₹2.25L prize pool, SDE interviews), Infosys HackWithInfy (₹9.5–12 LPA roles), Adobe India Hackathon (₹1.1L/month + MacBook), Walmart CodeHers (female students, ₹1–1.1L/month), Goldman Sachs Campus Challenge, Juspay Hiring Challenge (₹19–27 LPA PPO), and 15+ more. See the full list with deadlines on the Hackathons 2026 page.

How do I prepare for HR interviews in campus placements?

Master the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare answers for: Tell me about yourself (60-second pitch linking academics → projects → career goals), Why this company? (research 2–3 company-specific facts), Strengths/Weaknesses (frame weakness as growth opportunity), Handle pressure (give 1 real example), Salary expectations (defer to company standards for freshers). Practice 10+ mock HR interviews using PlacementPreps Mock Interview tool before your actual interview.

What is Round 3 of Flipkart GRiD 8.0?

Round 3 of Flipkart GRiD 8.0 is the Case Study Code Submission round. Top 48 teams build a working solution to a real-world Flipkart engineering problem (e-commerce search, recommendation, inventory, etc.) and submit code, documentation, and a live demo. Projects are judged on code quality, scalability, innovation, and presentation.

How do past GRiD winners approach Round 3?

Past Flipkart GRiD winners focus on: (1) End-to-end execution — working MVP + deployment + business impact, (2) Fast, error-free live demos, (3) Clean GitHub repo with architecture diagrams and README, (4) Rehearsing the 10-minute pitch 10+ times. Technical rigor and clear documentation are key differentiators.

What tech stack should I use for Flipkart GRiD Round 3?

For SDE track: React/Next.js + Node.js + PostgreSQL/MongoDB + Redis + Elasticsearch. For AI Engineering: Python/FastAPI + TensorFlow/PyTorch + LangChain + Pinecone + React. For Data Science: Python (Pandas, NumPy, scikit-learn) + SQL + Tableau/Plotly + Flask. Deploy on Vercel, Railway, or AWS.

Round 3 Strategy Guide

Flipkart GRiD 8.0
Winning Strategies

How top 48 teams crack Round 3 and win ₹1L/month internships + ₹32.67 LPA PPOs — real patterns, past winners, and judging criteria

Round 3 Problem Patterns by Track

SDE Track

Typical Problem Types:

Catalog Search & Discovery — Build a fuzzy search engine for e-commerce products
Cart & Checkout Optimization — Design a scalable cart service handling 10M+ users
Recommendation Engine — Implement collaborative filtering for "Customers also bought"

Recommended Tech Stack:

React/Next.jsNode.js/ExpressPostgreSQL/MongoDBRedis (caching)Elasticsearch

Judging Criteria:

code30%

scalability30%

demo25%

documentation15%

AI Engineering

Typical Problem Types:

Visual Search — Upload product image, find similar items (CNN + vector search)
Chatbot for Customer Support — LLM-powered assistant for order queries
Personalized Feeds — ML model predicting user product preferences

Recommended Tech Stack:

Python/FastAPITensorFlow/PyTorchLangChain/OpenAI APIPinecone (vector DB)React

Judging Criteria:

innovation35%

accuracy30%

uxDemo20%

tech15%

Data Science

Typical Problem Types:

Demand Forecasting — Predict inventory needs for Big Billion Days sale
Fraud Detection — Identify fake reviews and suspicious transactions
Last-Mile Delivery Optimization — Route planning for 1000+ daily orders

Recommended Tech Stack:

Python (Pandas, NumPy)scikit-learn/XGBoostSQL/BigQueryTableau/PlotlyFlask API

Judging Criteria:

model35%

insights30%

visualization20%

presentation15%

What Past GRiD Winners Did Differently

GRiD 7.0 (2025)

Team ByteBuilders — IIT Delhi

"Smart Inventory Predictor"

Winning Moves:

Used LSTM + ARIMA hybrid model for demand forecasting
Integrated real-time sales data via Flipkart Open API
Built interactive Tableau dashboard for executives
Deployed on AWS with auto-scaling (handled 10K req/sec demo)

Key Lesson:

Winners showcase END-TO-END execution — model + deployment + business impact.

GRiD 6.0 (2024)

Team TechTitans — BITS Pilani

"Visual Search Engine"

Winning Moves:

Fine-tuned ResNet50 on Flipkart product images
Used Pinecone for fast vector similarity search
React frontend with drag-and-drop image upload
Demo: uploaded random product → found 10 similar items in <2s

Key Lesson:

Live demo MUST be fast and error-free. Practice your pitch 10+ times.

GRiD 5.0 (2023)

Team CodeCrafters — NIT Trichy

"Real-Time Cart Sync"

Winning Moves:

WebSocket-based cart sync across mobile + web
Redis pub-sub for low-latency state management
Handled concurrent updates (10 users editing same cart)
GitHub repo with clean README + architecture diagram

Key Lesson:

Technical rigor wins. Document your architecture and trade-offs clearly.

7-Week Preparation Timeline

Week 1–2

Pick your track (SDE/AI/DS)
Form a 3–4 member team
Brainstorm 5 project ideas aligned with Flipkart scale

Week 3–4

Build MVP — core feature working end-to-end
Set up GitHub repo with CI/CD
Deploy to Vercel/Railway/AWS

Week 5–6

Add 2–3 advanced features
Write comprehensive README with architecture diagram
Prepare 10-min pitch deck

Week 7 (Submission)

Record demo video (5 min max)
Submit code + documentation on Unstop
Test live demo URL (no downtime!)

Ready to Compete in GRiD 8.0?

Round 3 is active for top 48 teams. Next edition (GRiD 9.0) opens Q1 2027. Start building your portfolio project now.

View Official Challenge Full GRiD Details

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Flipkart GRiD 8.0Winning Strategies

Round 3 Problem Patterns by Track

SDE Track

Typical Problem Types:

Recommended Tech Stack:

Judging Criteria:

AI Engineering

Typical Problem Types:

Recommended Tech Stack:

Judging Criteria:

Data Science

Typical Problem Types:

Recommended Tech Stack:

Judging Criteria:

What Past GRiD Winners Did Differently

Winning Moves:

Winning Moves:

Winning Moves:

7-Week Preparation Timeline

Week 1–2

Week 3–4

Week 5–6

Week 7 (Submission)

Ready to Compete in GRiD 8.0?

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ICT Mumbai

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Winning Strategies

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