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Create an 11-slide premium hackathon pitch deck for CII Post Harvest Hackathon – Round 2. PROJECT: AgriSetu AI TAGLINE: From a crop image to an actionable farming decision. SUBT…
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Create an 11-slide premium hackathon pitch deck for CII Post Harvest Hackathon – Round 2. PROJECT: AgriSetu AI TAGLINE: From a crop image to an actionable farming decision. SUBTITLE: AI-Powered Crop Disease Detection & Smart Agricultural Advisory Platform TEAM: Team AgriSetu Vellore Institute of Technology, Vellore Track 4 – AI Powered Agriculture Solutions TEAM MEMBERS: Raafid Afraaz G – Team Lead | AI, Full-Stack Development & System Architecture Farhanaaz R S – Computer Vision & Model Development IMPORTANT: The first 9 slides MUST follow the exact structure requested by the hackathon. Slides 10 and 11 are optional supporting slides. SLIDE 1 — TITLE AgriSetu AI AI-Powered Crop Disease Detection & Smart Agricultural Advisory Platform "From a crop image to an actionable farming decision." Team AgriSetu Vellore Institute of Technology CII Post Harvest Hackathon – Round 2 Track 4 – AI Powered Agriculture Solutions Visual: Use a clean hero visual combining a crop leaf, smartphone/camera image scanning and subtle AI/data elements. Do not use a generic farming stock photo. SLIDE 2 — PROBLEM STATEMENT Title: A Disease Detected Late Is a Crop Loss Waiting to Happen Present four concise problem cards: 01 — LATE DISEASE IDENTIFICATION Crop symptoms can be mistaken for nutrient deficiencies or environmental stress, delaying intervention. 02 — INCORRECT TREATMENT Without timely expert guidance, farmers may apply inappropriate agrochemicals, increasing input costs and resistance risks. 03 — LIMITED EXPERT ACCESS Qualified agricultural experts are not always accessible, particularly for smallholder and rural farming communities. 04 — LANGUAGE & LITERACY BARRIERS Agricultural advisory information is not always accessible to farmers who prefer regional languages or voice interaction. Bottom statement: "The challenge is not only identifying disease — it is turning diagnosis into an immediate, understandable and actionable decision." Visual: Use a simple problem funnel or four interconnected challenge cards. SLIDE 3 — PROPOSED SOLUTION Title: AgriSetu AI — Diagnose. Advise. Act. Show a prominent horizontal visual pipeline: CROP IMAGE ↓ MobileNetV2 Disease Detection ↓ Disease + Confidence Score ↓ Severity Analysis ↓ Gemini AI Agricultural Advisor ↓ Treatment & Prevention Guidance ↓ Multilingual Voice Assistance ↓ PDF Report ↓ Share / Export Key message: "AgriSetu converts a single crop image into a personalized agricultural action plan." Visual: Make the pipeline the main element of the slide. Use icons and arrows rather than paragraphs. SLIDE 4 — KEY FEATURES Title: One Platform. Complete Crop Health Guidance. Create six visually strong feature cards: AI DISEASE DETECTION Identifies crop diseases from leaf images using a fine-tuned MobileNetV2 model. CONFIDENCE & SEVERITY Provides confidence scoring and classifies severity as mild, moderate or severe. AI AGRICULTURAL ADVISOR Gemini-powered conversational guidance for treatment, prevention and cultivation practices. MULTILINGUAL + VOICE Voice-assisted and multilingual interaction designed for diverse farming communities. FARMER ACTION PLAN Provides step-by-step intervention guidance with organic and chemical treatment options. REPORT + SHARE Generates downloadable diagnostic reports that can be shared for further consultation. SLIDE 5 — TEAM STRUCTURE Title: Team AgriSetu Use two large professional profile cards. RAAFID AFRAAZ G Team Lead AI • Full-Stack Development • System Architecture Responsibilities: - AI and application development - System architecture - Backend/API integration - Generative AI integration FARHANAAZ R S Computer Vision & Model Development Responsibilities: - Computer vision pipeline - Disease classification - ML model development - AI model integration Bottom: "Combining software engineering, computer vision and generative AI to build farmer-centric technology." SLIDE 6 — INNOVATION & UNIQUENESS Title: Beyond Detection: From Diagnosis to Decision Highlight these six differentiators: 01 — DUAL-AI INTELLIGENCE Computer Vision performs structured disease classification while Generative AI provides contextual agricultural guidance. 02 — COMPLETE DECISION LOOP AgriSet moves beyond identification: Detection → Severity → Treatment → Prevention → Action Plan. 03 — TRANSPARENT AI Confidence scoring provides users with visibility into the prediction. 04 — FARMER-FIRST ACCESSIBILITY Multilingual and voice interaction helps reduce language and literacy barriers. 05 — SHAREABLE AGRICULTURAL INTELLIGENCE Diagnostic results and action plans can be generated as PDF reports and shared with experts. 06 — MODULAR & SCALABLE The architecture allows independent model upgrades, new crops, languages and future AI services. Main takeaway: "AgriSetu does not simply tell a farmer what the disease is. It helps answer: What should I do next?" SLIDE 7 — IMPACT & BENEFITS Title: Turning Early Intelligence into Agricultural Impact Create four large impact areas: FARMER IMPACT • Faster disease identification • Actionable treatment guidance • Easier access to agricultural knowledge ECONOMIC IMPACT • Potentially reduce avoidable crop losses • Reduce inappropriate treatment expenditure • Support improved crop quality and productivity ACCESSIBILITY IMPACT • Multilingual assistance • Voice-enabled interaction • Guidance beyond geographical and expert-access constraints SUSTAINABILITY IMPACT • Better-targeted interventions • Preventive crop management • Potential to reduce unnecessary treatment Bottom statement: "Timely information can enable timely intervention — helping protect crop health and farmer livelihoods." IMPORTANT: Do NOT invent numerical impact statistics. Do NOT claim proven percentage reductions or field results unless explicitly provided in the source material. SLIDE 8 — IMPLEMENTATION ROADMAP / FUTURE SCOPE Title: From Prototype to Agricultural Intelligence Platform Create a 4-stage horizontal roadmap. PHASE 1 — PROTOTYPE ✓ Disease detection ✓ Confidence scoring ✓ Severity analysis ✓ AI advisory ✓ Voice guidance ✓ PDF reporting PHASE 2 — FIELD PILOT → Test with farming communities → Expand disease/crop coverage → Collect user feedback → Improve model performance → Expand regional language support PHASE 3 — POST-HARVEST INTELLIGENCE → AI crop quality grading → Shelf-life prediction → Post-harvest storage recommendations → Food-waste reduction PHASE 4 — SCALABLE AGRICULTURAL PLATFORM → Multi-crop intelligence → More regional languages → Agronomist integration → Cloud-scale deployment Main message: "Starting with crop health, AgriSetu can evolve into an end-to-end agricultural intelligence platform." SLIDE 9 — THANK YOU / Q&A Title: Thank You Large central text: "Empowering every farmer with intelligent, accessible crop health guidance." AgriSetu AI Team AgriSetu Vellore Institute of Technology Track 4 — AI Powered Agriculture Solutions Add: Questions & Discussion Keep this slide extremely clean. SLIDE 10 — OPTIONAL: PROTOTYPE / PROOF OF CONCEPT Title: From Image to Actionable Diagnosis This slide should visually demonstrate an actual generated AgriSetu diagnosis. Show: INPUT Crop Leaf Image ↓ AI DIAGNOSIS Crop: Peach Disease: Bacterial Spot CONFIDENCE 93.5% SEVERITY Moderate ↓ AI-GENERATED GUIDANCE Symptoms Treatment Prevention Farmer Action Plan Use an actual screenshot of the AgriSetu interface/report if available. Important: Do not fabricate screenshots. Do not fabricate additional performance metrics. SLIDE 11 — OPTIONAL: TECHNOLOGY & SYSTEM ARCHITECTURE Title: Built as a Modular AI Architecture Create a clean architecture diagram: USER ↓ React + TypeScript + Tailwind ↓ FastAPI REST API ↓ AI INFERENCE LAYER MobileNetV2 / TensorFlow / Keras ↓ DISEASE + CONFIDENCE + SEVERITY ↓ GENERATIVE AI ADVISORY Google Gemini ↓ RESPONSE DELIVERY Dashboard + Voice + PDF + Share Technology footer: React • TypeScript • Tailwind CSS • FastAPI • Python • TensorFlow/Keras • MobileNetV2 • Google Gemini • Web Speech API • ReportLab • Docker DESIGN REQUIREMENTS: - 16:9 widescreen - Premium startup/hackathon pitch deck - Agriculture + AI visual identity - Clean white/light background - Green agricultural accents - Dark text with strong visual hierarchy - Use subtle gradients only where appropriate - Use modern line icons - Use diagrams instead of paragraphs - Maximum 5–6 major visual elements per slide - Large readable typography - Minimal text - Consistent spacing - Consistent icon style - Professional enough for a national-level hackathon - Avoid generic templates - Avoid excessive stock photography - Avoid cartoonish illustrations - Avoid excessive animations - Keep every element editable in PowerPoint - Make the presentation visually coherent from slide 1 to slide 11. CONTENT ACCURACY: Use only information supported by the provided AgriSetu documentation and hackathon submission. Do not invent farmer numbers, accuracy percentages, field validation results, cost savings, crop-loss percentages or business metrics. Do not claim that the system is production deployed. Current status is prototype/pilot.
Presentation overview
This community presentation was shared by Farha Naaz as a complete 11-slide example. Create an 11-slide premium hackathon pitch deck for CII Post Harvest Hackathon – Round 2. PROJECT: AgriSetu AI TAGLINE: From a crop image to an actionable farming decision. SUBT… The preview lets you review the full sequence in order, rather than judging the design from a single cover image.
Use it as a reference for planning your own deck: notice how the amount of information changes from slide to slide, where visual emphasis appears, and how repeated design choices help the presentation feel connected. Community examples are inspiration, not locked templates, so you can keep the ideas that fit your audience and replace anything that does not.
Learn from the example
Look at the job each slide performs. Identify where the deck introduces its subject, develops the main points, adds evidence or examples, and moves toward a conclusion.
Notice which element attracts attention first and how headings, supporting text, images, and data are separated. Strong hierarchy makes the intended reading order obvious.
Compare spacing, typography, color, and repeated components across the slides. Consistent rules help varied content feel like one presentation instead of unrelated screens.
Make it your own
Begin with your audience and the decision, lesson, or action the presentation should support. Replace the topic, examples, evidence, and visuals with material you can verify, then edit every slide for one clear takeaway. You can borrow the visual direction without copying the creator's wording or message. Presenton will use this community deck as a design reference while you develop content for your own purpose.
