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First 10 Slides — Final Content SLIDE 01 — COVER Main title AI-Powered Interview Platform Subtitle Human-led interviews. AI-assisted improvement. Bottom information Major Projec…
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First 10 Slides — Final Content SLIDE 01 — COVER Main title AI-Powered Interview Platform Subtitle Human-led interviews. AI-assisted improvement. Bottom information Major Project – 1 Aditya Rautela Vansh Chaudhary Shaurya Rajput B.Tech CSE Jaypee Institute of Information Technology, Noida Visual direction Keep this extremely clean. Left 55% Huge title Small subtitle Team/institution information Right 45% Premium visual representing an interview Could combine: candidate interviewer subtle AI analysis layer transcript/feedback elements Don't use a generic robot. Speaker Aditya Time ~40 seconds SLIDE 02 — THE REAL INTERVIEW PROBLEM Headline “Knowing the answer isn't the same as handling the interview.” Then create a large progression: LEARN ↓ SOLVE ↓ PRACTICE ↓ INTERVIEW ↓ FEEDBACK Under the progression, show 4 things that make an actual interview different: COMMUNICATION Explain your thinking. PRESSURE Think while being evaluated. INTERACTION Handle follow-ups and clarification. REFLECTION Understand what went wrong. Bottom statement Interview preparation often prepares the candidate for the questions — not the complete interview experience. This connects directly to the report's observation that conventional practice may not reproduce human-led interaction, communication, follow-up and discussion. Visual Don't make this a six-card corporate slide. Make “INTERVIEW” the large central word, with the surrounding factors feeding into it. Speaker Aditya → Vansh Time ~45 seconds SLIDE 03 — INTERVIEW PREPARATION IS FRAGMENTED Headline “The candidate journey is scattered across multiple tools.” Create four large sections: 01 — PREPARE Courses Notes Coding platforms Question banks 02 — FIND Interviewers Expertise Interview categories 03 — SCHEDULE Availability Booking Coordination 04 — IMPROVE Feedback Transcript Performance analysis Then visually connect them: PREPARE → FIND → SCHEDULE → INTERVIEW → IMPROVE But show that these stages are currently disconnected. Bottom statement One interview journey. Multiple disconnected systems. The report identifies fragmented preparation as one of the central problems, alongside interviewer discovery, scheduling and feedback. Speaker Vansh Time ~50 seconds SLIDE 04 — THE PROBLEM WE ARE SOLVING Headline “Six challenges sit between preparation and performance.” Use a sophisticated 2×3 numbered grid. 01 FRAGMENTED PREPARATION Learning, practice and feedback are spread across different resources. 02 INTERVIEWER DISCOVERY Finding someone with relevant expertise can be difficult. 03 SCHEDULING Availability and coordination create additional friction. 04 LIMITED REALISM Question practice doesn't necessarily reproduce a human-led interview. 05 INCONSISTENT FEEDBACK Informal feedback may not clearly identify improvement areas. 06 POST-INTERVIEW ANALYSIS Transcripts and session information are difficult to analyse manually. Bottom Our objective: Create one structured environment connecting the interview journey from discovery to feedback. These six challenges are directly represented in the report's problem statement. Speaker Vansh Time ~55 seconds SLIDE 05 — WHAT RESEARCH REVEALED This is important because it prevents the presentation from sounding like: “We had an idea and built it.” Instead, show that the product direction came from research. Headline “The research pointed toward a human + AI workflow.” Use four large editorial blocks. 01 — STRUCTURED INTERVIEWS Campion et al. Structured interviews provide a basis for consistent interview design and evaluation. 02 — HUMAN × AI COLLABORATION Jarrahi AI can augment human work rather than simply replace human judgement. 03 — GENERATIVE AI Kasneci / Dai Generative AI creates opportunities for content generation and feedback, while introducing reliability concerns. 04 — AI-BASED ASSESSMENT Recent assessment research Raises important considerations around: Validity · Fairness · Reliability · Responsible AI Bottom statement AI should assist the interview process — not become the final judge. The literature review in the report specifically identifies AI reliability/bias and privacy/responsible AI as important limitations and design considerations. Speaker Vansh Time ~55 seconds SLIDE 06 — THE RESEARCH GAP This should be a very strong slide. Headline “The pieces exist. The workflow is fragmented.” Instead of claiming competitors don't have these features, show the research gap conceptually. Create three layers: EXISTING CAPABILITIES AI Practice Question generation Automated feedback ↓ Human Practice Human interviewer Real interaction ↓ Interview Data Recording Transcript Session information Then show: THE GAP These capabilities are often addressed separately. And finally: OUR PROPOSED DIRECTION Human-led interview Structured workflow AI-assisted analysis The report explicitly states that existing work provides foundations for structured interviews, AI learning, generative AI and automated assessment, but these aspects are often addressed separately. Important wording Do NOT write: ❌ “No platform does this.” ❌ “We are the first.” ❌ “Our platform is better.” Instead: “This is the workflow integration our project targets.” Speaker Vansh Time ~55 seconds SLIDE 07 — OUR PROPOSED PLATFORM Now reveal the actual product. Headline “From interview preparation to interview experience.” Large central workflow: DISCOVER Find the right interviewer ↓ BOOK Select expertise + availability ↓ INTERVIEW Conduct a remote session ↓ ANALYSE Use transcript/session information ↓ IMPROVE Receive structured feedback At the bottom: DISCOVER → INTERVIEW → ANALYSE → IMPROVE Small supporting statement The proposed system brings together: Interviewer discovery Availability Booking Real-time communication Recording / transcription AI-assisted analysis Structured feedback This directly follows the methodology described in the report. Visual This should feel like a product reveal, not a technical architecture diagram. Use huge typography and thin connecting lines. Speaker Vansh Time ~50 seconds SLIDE 08 — USER JOURNEY Headline “One continuous journey — from login to learning.” Create a six-step horizontal journey. 01 AUTHENTICATE Sign in and establish the user role. 02 DISCOVER Explore interviewers based on expertise and category. 03 BOOK Select availability and schedule a session. 04 INTERVIEW Conduct the remote interview. 05 ANALYSE Use interview information for AI-assisted analysis. 06 IMPROVE Review structured feedback and identify areas to work on. At the bottom, add: **THE OUTPUT ISN'T JUST AN INTERVIEW. IT'S THE NEXT PREPARATION STEP.** The report defines interviewee/interviewer roles, interviewer discovery, availability, credit-based booking and the proposed interview/analysis flow. Speaker Vansh Time ~55 seconds SLIDE 09 — PRODUCT PROTOTYPE This is where you finally show that this isn't only an idea. Headline “The product foundation is already taking shape.” Use actual screenshots from your project. I'd structure it as: LARGE SCREENSHOT Dashboard Then 4 smaller screens: Find Interviewer My Interviews Interview Session AI Feedback Under each screenshot, one short description. Dashboard Candidate overview Upcoming interviews Credits Readiness Recommended experts Find Interviewer Expert discovery Role Company Skills Category My Interviews Session management Upcoming Completed Cancelled AI Feedback Post-interview analysis Technical performance Communication Problem solving Strengths Improvements IMPORTANT STATUS LABEL Put a small yellow badge: CURRENT PROTOTYPE And underneath: Backend-dependent integrations are in progress. This distinction is critical. The report says the frontend prototype demonstrates the intended interfaces while backend implementation and external-service integration are still progressing. Speaker Vansh → Shaurya Time ~1 minute Handoff: “So that is the product experience we are building. Now Shaurya will take you through how we designed the technical foundation behind it.” SLIDE 10 — HOW WE BUILT THE FOUNDATION This is where Shaurya takes over completely. Headline “Under the interface is a full-stack architecture.” Create a central platform block: AI-POWERED INTERVIEW PLATFORM Around it, arrange the technology layers. FRONTEND Next.js React Tailwind CSS DATA PostgreSQL Prisma AUTHENTICATION Clerk REAL-TIME Stream Video + Chat AI Google Generative AI Question Generation Transcript Analysis SUPPORTING SERVICES Resend Transactional Email Arcjet Security / Rate Limiting The report identifies this technology stack and its respective roles. Bottom statement A full-stack foundation designed around one continuous interview workflow. Speaker Shaurya Time ~1 minute The Story Flow of These 10 Slides This is the important part. The first 10 should not feel like 10 independent PPT pages. They should tell this story: 01 WHAT ARE WE BUILDING? ↓ 02 WHY DOES THIS MATTER? ↓ 03 WHY IS THE CURRENT PROCESS FRAGMENTED? ↓ 04 WHAT EXACTLY IS WRONG? ↓ 05 WHAT DID RESEARCH TELL US? ↓ 06 WHERE IS THE GAP? ↓ 07 WHAT ARE WE PROPOSING? ↓ 08 HOW DOES A USER EXPERIENCE IT? ↓ 09 WHAT HAVE WE ACTUALLY BUILT? ↓ 10 HOW IS IT BUILT TECHNICALLY? That's much stronger than a conventional: Introduction → Literature → Methodology → Technology → Results presentation. Speaker Distribution — First 10 Slide Speaker Approx. Time 1. Cover Aditya 0:40 2. Interview Problem Aditya → Vansh 0:45 3. Fragmentation Vansh 0:50 4. Six Challenges Vansh 0:55 5. Research Vansh 0:55 6. Research Gap Vansh 0:55 7. Proposed Platform Vansh 0:50 8. User Journey Vansh 0:55 9. Prototype Vansh → Shaurya 1:00 10. Technology Shaurya 1:00 Aditya: ~1:25 Vansh: ~5:25 Shaurya: ~1:00 by slide 10, then takes over the remaining technical slides. This preserves the role division you wanted: Vansh owns the product/problem/research narrative, while Shaurya owns the technical story from architecture onward. One major change from the earlier 12-slide plan After analyzing the actual report, I'd move the competitor/market discussion into Slide 6 rather than giving it a whole heavy comparison slide. Your report itself says the comparison is intended to identify workflow/functionality differences, not claim superiority. That gives us more room to show the actual product and research logic—which will make the presentation feel much more like a Major Project defense and less like a startup pitch. Slide 11 — System Architecture Headline “A layered architecture connects the complete interview lifecycle.” Visual Use a clean left-to-right / top-to-bottom architecture diagram: AI-POWERED INTERVIEW PLATFORM │ ┌────────────────┴────────────────┐ │ │ CLIENT LAYER SERVICE LAYER │ │ Next.js + React Authentication Tailwind CSS Booking Interview Session AI Processing │ │ └────────────────┬────────────────┘ │ DATA / INTEGRATION │ ┌──────────────┬──────┼──────────────┬─────────────┐ │ │ │ │ │ PostgreSQL Prisma Clerk Stream Gemini │ │ │ AI Questions │ Transcript Analysis │ User / Booking / Availability / Feedback / Credits Bottom callout “The architecture is designed around the workflow — not around isolated features.” Small status label ARCHITECTURE — IMPLEMENTATION IN PROGRESS Speaker Shaurya — ~1:05 What Shaurya says “The platform follows a layered full-stack architecture. The frontend is built using Next.js, React and Tailwind, while PostgreSQL with Prisma provides the structured data layer. Clerk handles authentication, Stream is planned for real-time video and chat, and Google Generative AI supports question generation and transcript analysis. The important part is that these services are connected around one interview lifecycle — from booking to interview to feedback.” Slide 12 — Data Model & Backend Foundation Headline “The database models the interview as a complete lifecycle.” Instead of showing a giant ER diagram, use a clean entity map. Center USER Connected to: Availability Booking Feedback Credit Transaction Payout Secondary relationship USER │ ├── Availability │ ↓ │ Booking │ ↓ │ Interview │ ↓ │ Feedback │ └── CreditTransaction │ Payout Side panel — Key backend responsibilities IDENTITY User roles Candidate / Interviewer SCHEDULING Availability Booking status INTERVIEW Category Session information FEEDBACK Rating Structured feedback TRANSACTIONS Credits Payouts Bottom “The schema establishes the foundation for reliable booking, interview tracking and feedback.” Speaker Shaurya — ~55 sec Slide 13 — AI Layer & Evaluation Strategy Headline “AI assists two critical moments: preparation and reflection.” Use a two-column AI pipeline. LEFT — BEFORE THE INTERVIEW QUESTION GENERATION Interview Category ↓ Candidate Context ↓ Google Generative AI ↓ Interview Questions Examples: Technical questions Role-specific questions Follow-up questions RIGHT — AFTER THE INTERVIEW TRANSCRIPT ANALYSIS Interview Transcript ↓ Pre-processing ↓ Google Generative AI ↓ Structured Analysis ↓ Feedback Evaluate dimensions such as: Technical Understanding Communication Problem Solving Strengths Areas for Improvement Bottom warning/callout AI output is assistance — not the final judgment. Small label EVALUATION — PLANNED Speaker Shaurya — ~1:00 Important Do not put numerical accuracy, precision, F1, or other results here because the project has not completed quantitative LLM evaluation. Slide 14 — From Prototype to Complete System Headline “The next phase is integration, validation and evaluation.” Make this a 3-stage roadmap. 01 — INTEGRATE Current → Next Backend completion Stream video/chat integration Recording & transcription AI service integration Email notifications Security/rate limiting 02 — VALIDATE End-to-end booking flow Interview session testing Authentication testing Database validation AI output consistency Failure/error handling 03 — EVALUATE LLM response quality Question relevance Feedback consistency Latency User experience Comparison with selected existing solutions Visual progression PROTOTYPE ↓ INTEGRATION ↓ VALIDATION ↓ EVALUATION ↓ DEPLOYMENT Bottom “The objective is not simply to complete features — it is to validate the complete workflow.” Speaker Shaurya — ~55 sec Slide 15 — Future Scope Headline “The platform can evolve beyond the first interview.” Use four large cards. 01 — PERSONALIZED PREPARATION Use interview history and feedback to generate: Weak-area recommendations Targeted practice Follow-up questions Preparation plans 02 — ADVANCED ANALYTICS Track: Performance trends Interview history Skill-wise progress Feedback patterns 03 — SCALABILITY Potential future work: Larger interviewer network More interview categories Improved service scalability Production deployment 04 — RESPONSIBLE AI Future evaluation around: Reliability Bias Transparency Privacy Human oversight Bottom statement “The long-term direction is a continuous interview → feedback → preparation loop.” Speaker Shaurya — ~45 sec Slide 16 — Conclusion Headline “One interview journey. One connected system.” Make this extremely visual and minimal. Center visual DISCOVER ↓ BOOK ↓ INTERVIEW ↓ ANALYSE ↓ IMPROVE ↺ Around it, three keywords: HUMAN Real interviewer interaction STRUCTURED Booking → interview → feedback AI-ASSISTED Questions → transcript → analysis Final statement “AI-Powered Interview Platform combines human-led interview practice with a structured digital workflow and AI-assisted analysis.” Then at the bottom: Thank You Questions & Discussion Speaker Shaurya — ~40 sec Final 16-Slide Story # Slide Speaker Approx. 1 Cover Aditya 0:40 2 The Real Interview Problem Aditya → Vansh 0:45 3 Interview Preparation Is Fragmented Vansh 0:50 4 The Problem We Are Solving Vansh 0:55 5 What Research Revealed Vansh 0:55 6 The Research Gap Vansh 0:55 7 Our Proposed Platform Vansh 0:50 8 User Journey Vansh 0:55 9 Product Prototype Vansh → Shaurya 1:00 10 How We Built the Foundation Shaurya 1:00 11 System Architecture Shaurya 1:05 12 Data Model & Backend Foundation Shaurya 0:55 13 AI Layer & Evaluation Strategy Shaurya 1:00 14 From Prototype to Complete System Shaurya 0:55 15 Future Scope Shaurya 0:45 16 Conclusion Shaurya 0:40 One important adjustment: this 16-slide version is slightly above a strict 10-minute delivery if every speaker uses the full allocation. For a 10-minute Major Project presentation, Slides 11–16 should be delivered very tightly, with the architecture and AI evaluation explained visually rather than read line-by-line. The overall narrative becomes: Problem → Fragmentation → Research → Gap → Proposed workflow → Prototype → Architecture → Data → AI → Validation → Future → Conclusion That gives the presentation a much stronger academic/research progression than simply presenting a list of features.
Presentation overview
This community presentation was shared by SHAURYA RAJPUT as a complete 16-slide example. First 10 Slides — Final Content SLIDE 01 — COVER Main title AI-Powered Interview Platform Subtitle Human-led interviews. AI-assisted improvement. Bottom information Major Projec… The preview lets you review the full sequence in order, rather than judging the design from a single cover image.
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