Build and Deploy a Waste Management App with Next.js ,Typescript, TailwindCSS & Gemini AI

Introduction

In this article, I will walk you through the process of creating an innovative Waste Management application titled "Zero to Hero." This app utilizes Next.js, TypeScript, Tailwind CSS, Google Maps API, and Gemini AI to streamline waste reporting and community engagement. This guide is intended to help you understand the intricacies of setting up and deploying your app effectively.

Project Overview

The Zero to Hero app serves as a platform for users to report waste, collect rewards for their contributions, and track environmental impacts related to waste management. The following components are covered:

1. Setting Up the Project: We initialized the Next.js application and installed the necessary dependencies.
2. User Authentication: The app uses Web3 authentication to connect users to their accounts securely.
3. Waste Reporting: This section allows users to report waste by uploading images, which can be analyzed by Gemini AI to determine the waste type and amount.
4. Collection of Waste: Users can collect reported waste and earn tokens or rewards based on their actions.
5. Rewards System: The app tracks user rewards, transactions, and allows for the redemption of tokens.
6. Leaderboard Feature: A leaderboard feature enables users to see top contributors in waste management.
7. Deployment: Finally, the application is prepared for deployment on a platform of your choice.

Project Setup

1. Initialize the Application
   To get started, create a new Next.js project and install the necessary libraries such as Tailwind CSS for styling and Gemini AI for waste analysis.

2. Web3 Authentication
   Use Web3 for securing user accounts. Set up the authentication process within the app to allow users to sign in and retain their points and reports.

3. Waste Reporting
   Create a section where users can upload images of waste. Once an image is uploaded, utilize the Gemini AI to analyze the image and return details such as the waste type and an estimated amount.

4. Collecting Waste
   Users can choose to collect reported waste. When a user opts to collect waste, the status gets updated, and upon verification, users earn tokens.

5. Reward System
   Implement a rewards system that recognizes users for their contributions. Users accumulate points for reporting and collecting waste, which can later be redeemed.

6. Leaderboard
   Add a leaderboard functionality to rank the top performers based on points accrued through reporting waste.

7. Deployment
   Finally, deploy your application using platforms like Vercel or Netlify for hosting.

Example Code

Below is an example of how a waste reporting component might look:

const handleVerify = async () => (
    if (!file) {
        toast.error("Please upload an image.");
        return;
    )

    setVerificationStatus("verifying");

    try (
        const generativeAI = new GenerativeAI({ apiKey: process.env.GEMINI_API_KEY ));
        const result = await generativeAI.getGenerativeModel("Gemini-1.5-fl").generateContent((
            prompt: "Analyze this waste image.",
            imageData: await convertToBase64(file)
        ));

        // Handle response...
    } catch (error) (
        console.error("Error verifying waste:", error);
        toast.error("Verification failed, please try again.");
        setVerificationStatus("idle");
    )
};

Conclusion

By following these steps, you can create a fully-functional waste management app using Next.js, TypeScript, Tailwind CSS, and Gemini AI. The resulting application not only aims to streamline waste reporting but also fosters a community engaged in sustainable waste management practices.

Keyword

Keywords extracted from the article include: Next.js, TypeScript, Tailwind CSS, Waste Management, Gemini AI, Web3 Authentication, Waste Reporting, User Rewards, Leaderboard, Deployment.

FAQ

What technologies are used in the Waste Management App?

The app utilizes Next.js, TypeScript, Tailwind CSS, Google Maps API, and Gemini AI.

How does user authentication work in the application?

The application uses Web3 for secure user authentication, allowing users to log in and retain their data.

What is the purpose of the Gemini AI in the app?

Gemini AI is used to analyze uploaded images of waste to identify waste types and estimate their amounts.

How can users earn rewards in the app?

Users can earn rewards by reporting waste and collecting it. Points earned can later be redeemed.

What is the leaderboard for?

The leaderboard displays top users based on points earned, encouraging community participation and engagement.

With this article, you should be well-equipped to build and deploy your own Waste Management app. Happy coding!