πŸš— Project Name

FleetGuard - AI-Powered Fleet Maintenance Predictor

Problem Explenation :- https://youtu.be/ToXyekZUy-A

🎯 Problem Statement

Small logistics businesses (food delivery, ride-share, local trucking) lose $15,000-$50,000 per vehicle annually due to unexpected breakdowns. These businesses operate 5.6 million vehicles in the US alone, and 80% track maintenance manually in notebooks or spreadsheets - leading to missed services, expensive repairs, and lost revenue.

The core problem: They can't afford enterprise fleet management software ($500+/month), but manual tracking causes them to miss critical maintenance windows. One missed oil change can turn a $75 service into a $3,200+ breakdown.

Real impact: When a delivery van breaks down mid-route, small business owners face:

  • Towing costs ($150-300)
  • Emergency repairs (2-10x normal cost)
  • Lost deliveries and customer trust
  • No predictive insight into what's breaking next

πŸ’‘ Solution Overview

FleetGuard uses Google Gemini Vision AI to analyze vehicle dashboard photos and predict maintenance needs before breakdowns occur. The solution integrates directly into Google Calendar - a tool small businesses already use daily.

How it works:

  1. Snap & Upload: Business owner takes a photo of their vehicle dashboard (showing mileage, warning lights, fuel level)
  2. AI Analysis: Gemini Vision API extracts dashboard data and cross-references against vehicle maintenance schedules, current mileage, and industry standards
  3. Smart Predictions: AI generates 3 maintenance predictions with urgency levels (high/medium/low), estimated costs, days until due, and reasoning
  4. Auto-Schedule: One-click integration adds color-coded maintenance events to Google Calendar with automatic reminders (1 day and 1 hour before)

Key Innovation: No behavior change required. Small businesses already use smartphones and Google Calendar - FleetGuard enhances their existing workflow rather than forcing new tools.


πŸ› οΈ Tech Stack

Frontend:

  • Next.js 14 (App Router, TypeScript)
  • Tailwind CSS (Responsive design)
  • React (Component-based UI)
  • @react-oauth/google (Google OAuth integration)

AI & APIs:

  • Google Gemini 2.0 Flash (Vision + Text multimodal AI)
    • Analyzes dashboard images
    • Extracts mileage, warning lights, vehicle status
    • Generates maintenance predictions with reasoning
  • Google Calendar API (Event creation, reminders, color-coding)
  • Google OAuth 2.0 (Secure authentication)

Backend:

  • Next.js API Routes (Serverless functions)
  • googleapis (Calendar API client)
  • @google/generative-ai (Gemini SDK)

Deployment:

  • Vercel (Instant deployment, edge functions)
  • Environment Variables (Secure API key management)

AI Assistants Used:

  • GitHub Copilot (90% code generation, API integrations)
  • Claude AI (Architecture planning, prompt engineering)
  • Gemini AI (Core prediction engine)

Why Google Ecosystem: Chose Google APIs (Gemini + Calendar + OAuth) for seamless integration, free tier accessibility, and because target users already trust and use Google products daily.


⭐ Key Features

1. Instant Dashboard Analysis (2-3 seconds)

  • Upload any vehicle dashboard photo
  • Gemini Vision extracts: mileage, warning lights, fuel level, visible alerts
  • Works with any vehicle make/model/year
  • No manual data entry required

2. Predictive Maintenance Intelligence

  • Generates 3 prioritized maintenance predictions
  • Calculates days until due based on current mileage and standard schedules
  • Provides estimated repair costs
  • Includes AI reasoning for each prediction (builds trust)

3. Smart Urgency System

  • High (Red): Immediate attention needed (0-30 days)
  • Medium (Yellow): Plan ahead (30-60 days)
  • Low (Green): Monitor (60-90 days)
  • Color-coded throughout UI and Calendar events

4. One-Click Google Calendar Integration

  • Creates events with detailed maintenance info
  • Automatic reminders (1 day before, 1 hour before)
  • Color-coded by urgency for visual priority
  • Optional: Add repair shop location (integrates with Google Maps)
  • Email notifications sent automatically

5. Mobile-First Design

  • Fully responsive (desktop, tablet, phone)
  • Touch-friendly interface for on-the-go use
  • Image upload works with phone camera
  • Designed for truck/van drivers to use roadside

6. Cost Savings Transparency

  • Shows "Cost if fixed now" vs "Cost if it breaks down"
  • Displays potential savings for each prediction
  • Clear ROI calculation (typically 100-1000x return)

7. Zero Learning Curve

  • Uses tools small businesses already know (phone camera + Google Calendar)
  • No account creation or complex setup
  • No new apps to download
  • Works immediately after Google OAuth login

8. Privacy & Security

  • Google OAuth 2.0 secure authentication
  • No vehicle data stored permanently (optional Firebase integration for future)
  • All processing happens server-side
  • Images processed and discarded (not stored)

πŸ† What Makes FleetGuard Special

Solves Real Pain, Not Imagined Problems

Unlike typical hackathon projects solving "friend coordination," FleetGuard addresses a $15K-50K annual loss that affects millions of real businesses daily.

AI That Actually Helps

Uses Gemini Vision not as a gimmick, but as the core value proposition - turning unstructured visual data (dashboard photos) into actionable business intelligence.

Works With Existing Behavior

Doesn't force new tools. Small business owners already:

  • Use phones for everything
  • Check Google Calendar constantly
  • Take photos of issues to send mechanics

FleetGuard enhances their existing workflow.

Immediate, Measurable ROI

  • Costs: $29/month
  • Saves: $3,000+ per prevented breakdown
  • ROI: 10,000%+ (prevents just ONE breakdown to pay for 10 years)

Accessible to Underserved Market

Enterprise fleet software (Fleetio, Samsara, Geotab) costs $500+/month and targets large fleets. Small businesses with 1-10 vehicles are completely underserved. FleetGuard fills this gap.

Built in 1 Day With AI Assistance

Demonstrates the power of modern AI coding assistants (Copilot) and multimodal AI (Gemini) - 90% of code generated, allowing focus on user experience and problem-solving.


πŸ“Š Impact Potential

  • Target Market: 5.6M small logistics businesses in US
  • Addressable Problem: $84-280 billion in annual breakdown costs
  • Scalability: Zero marginal cost (API-based, serverless)
  • Business Model: Clear SaaS pricing ($29-99/month based on fleet size)
  • Social Impact: Helps small businesses compete, reduces waste from premature vehicle replacement

πŸš€ Future Enhancements

  • Google Sheets Import: Read existing maintenance logs
  • Multi-vehicle Dashboard: Track entire fleet at once
  • SMS Alerts: For users without smartphones
  • Mechanic Marketplace: Connect to local repair shops
  • Historical Analytics: Track maintenance patterns over time
  • Cost Tracking: Integrate with accounting software

"I wish I had FleetGuard before that Tuesday." - Subaru, Swift Deliveries

FleetGuard: Because Your Fleet Shouldn't Run On Luck πŸš—πŸ’‘ents that we're proud of

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