🌍 GlobalRoute Navigator 🚛✈️🚢

🌍 GlobalRoute Navigator 🚛✈️🚢

AI-powered logistics optimization system

Created on 6th April 2025

🌍 GlobalRoute Navigator 🚛✈️🚢

🌍 GlobalRoute Navigator 🚛✈️🚢

AI-powered logistics optimization system

The problem 🌍 GlobalRoute Navigator 🚛✈️🚢 solves

A small logistics provider needs a fast and efficient way to determine the best cross-border shipping route using air, sea, land, or their combinations. Our tool analyzes shipment details and suggests optimal routes based on:

Cost
Transit Time
Feasibility
Emissions
Or A Mix Of Them
Rerouting according to the current situation of path
AI powered 72 hours pre-predection Alert
use vendor method for small shipment during disaster

Challenges we ran into

🚀 Challenges We Faced in the Project

  1. Environment Variable Management 🔑
    Challenge: Sensitive keys like CLERK_SECRET_KEY and GEMINI_API_KEY might accidentally get exposed.
    Solution: Use .gitignore to exclude .env files and tools like dotenv to load them securely.
  2. API Key Mismanagement 🗝️
    Challenge: Unused or unnecessary API keys (e.g., GEMINI_API_KEY) can clutter the .env file.
    Solution: Regularly audit and remove unused keys to keep things clean.
  3. Frontend and Backend Integration 🔗
    Challenge: Ensuring smooth communication between the frontend and backend, especially with authentication services like Clerk.
    Solution: Test API endpoints thoroughly and configure public/secret keys properly.
  4. Security Concerns 🔒
    Challenge: Exposing sensitive keys in the frontend (e.g., NEXT_PUBLIC_GEMINI_API_KEY) can lead to vulnerabilities.
    Solution: Only expose safe keys publicly and keep sensitive ones on the server side.
  5. Third-Party Service Dependencies 🌐
    Challenge: Relying on services like Clerk or Gemini can cause issues if their APIs change or experience downtime.
    Solution: Implement fallback mechanisms and monitor service status regularly.
  6. Version Control Issues 🛠️
    Challenge: Accidentally committing sensitive information to a public repository.
    Solution: Use tools like git-secrets to prevent committing sensitive data.
  7. Deployment Challenges 🚢
    Challenge: Ensuring environment variables are correctly configured in production.
    Solution: Use deployment platforms like Vercel or Netlify, which support environment variable management.
  8. Scalability 📈
    Challenge: Managing multiple environment variables for different environments (development, staging, production) can get complex.
    Solution: Use environment-specific .env files (e.g., .env.development, .env.production) and a configuration library.

Tracks Applied (3)

Artificial intelligence/Machine Learning

Our project fits into the Artificial Intelligence/Machine Learning track by incorporating AI/ML-driven features to enhan...Read More

Open Innovation

Our project aligns with the Open Innovation track by leveraging collaborative technologies and open ecosystems to solve ...Read More

Special Track

This is First Year Team Project

Discussion

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