10+ AWS Project Ideas for Beginners 2024

Amazon Web Services (AWS) continues to be the most popular cloud computing platform and the demand for people who have expertise in AWS project implementation is increasing day by day. Creating projects through AWS can be helpful in your understanding of the platform and also contribute towards employment opportunities.

This article brings you a collection of over 10 project ideas specifically designed for AWS. These ideas cover a wide range of topics, from simple to complex, intending to inspire developers, enthusiasts, and businesses to make the most of AWS in the coming year.

What is AWS?

AWS is a secure cloud computing platform that provides cloud computing, databases, network topology, and content storage for gaining the maximum benefits of flexibility and security. AWS is a flexible and safe cloud computing framework. Among the key features is making the core infrastructure meet all security needs of different applications as the classifications of applications grow.

10 AWS Project Ideas for Beginners in 2024

1. Website Development using AWS

Website Development Instead of servers, you can use Amazon Web Services (AWS) to host your websites and develop your websites.

• AWS Lightsail is an instance of a virtual private server (VPS) running a website-centric and web application environment.
• With Lightsail, you can create a website to store student details for a university or track your household expenses.
• You can use AWS EC2 (Elastic Compute Cloud) or AWS Lambda (serverless computing) along with Lightsail for more advanced functionality.
• Lightsail comes pre-configured with various web development options and offers SSD-based storage.

2. Face recognizer

In this project, you’ll build a face recognition model that can identify specific people in images. Let’s see how we can approach this project:

• We will be using Amazon Rekognition, which is a deep learning-based image analysis service, to perform face recognition tasks.
• Rekognition also helps you to add and analyze images quickly, which makes it easier to train face recognition models.
• It can identify various features of objects, scenes, people, and text in images and videos.
• AWS provides SDKs and APIs to integrate facial recognition capabilities inside our application.

3. Kubernetes cluster on EC2 spot

Kubernetes cluster of EC2 spot instances is a Kubernetes an open source platform for automating deploying, scaling, monitoring as well as management of containerized applications. The project entails deploying the Kubernetes cluster on AWS by using EC2 Spot Instances, those which provide for the discount unconsciously using the underutilized computing capacity.

• Kubernetes is a valuable skill for cloud computing professionals and this project will give you a practical way to learn it.
• Through the EC2 Spot Instances, you can get the capacity of EC2 completely at a reduced cost.
• In terms of their approach to containers, Kubernetes and Spinning instances of EC2 have the same level of compatibility for this project implementation.
• Apply best practices on Spot Instances such as creating multiple node groups and optimizing capacity provisioning.

4. Windows VM Deployment

A Windows Virtual Machine should be deployed without causing any security violations. Amazon Lightsail is the web service you can use for deploying Windows VMs in AWS. It will simplify the process and enable you to utilize the most resources according to your needs. This service offers an easy-to-use user interface, and you can connect with the RDP client using it.

• Make sure you’ve installed all the latest security patches and fixes. we want to protect against any known vulnerabilities.
• Set a strong password policy (unlike the password we used to set “password123”), enable the firewall, and disable any unnecessary services. We’re minimizing attack surfaces left and right.
• Implement role-based access (RBAC) and only give people the absolute minimum permissions they need to do their jobs. We’re locking it down.
• Enable auditing and logging mechanisms to track every change, user activity, and potential incident. If something goes down, you’ll have a detailed record.

5. Student Issue Tracking Android App

This project creates a native Android application for student problem management. Using AWS Amplify you can build the APIs that you need and manage user authentication without worrying about the back-end infrastructure.

• AWS Amplify simplifies the process of creating APIs for listing, generating, and saving student data, as well as handling user authentication.
• The Amplify Android library provides a high-level interface for integrating AWS services into your Android app.
• Amplify offers rapid backend setup, seamless integration with AWS services, scalability, simplified authentication, and a cost-effective pay-as-you-go pricing model
• Use AWS services like Amazon DynamoDB for database storage, and AWS Lambda for computing backend tasks.

6. Chatbot Development with Amazon Lex

You’ll build a chatbot using Amazon Lex, a service that simplifies chatbot development for developers. Here are some key points:

• Amazon Lex allows you to integrate chatbots with other AWS services like AWS Lambda easily.
• Lambda is a serverless, event-driven computing platform that executes code in response to events while handling resource management in the background.
• Since many chatbots are built using Python, you can explore Python AWS projects to learn how others have integrated Python with Amazon Web Services.
• You can also use the built-in analytics and monitoring features to gain insights about your chatbot performance.

7. Sentiment Detection Using Twitter

This project aims to create a system that can evaluate the sentiment of real-time tweets based on a specified Twitter hashtag. Let’s see how we can approach this project:

• Use a Python script to obtain real-time Twitter data.
• Stream the tweets into a Kinesis Firehose delivery stream using a transformation Lambda function.
• Utilize Amazon Comprehend to extract sentiment data from the cleaned and processed tweets.
• Store the tweet and sentiment data in an Elasticsearch domain for real-time data visualization through custom charts.

8. Role-based Access Control and Data Leak Protection

This project helps you develop a system to detect potential data leaks and implement role-based access control. Here’s a high-level overview:

• Build or get a dataset such as PII (personally identifiable information) or credit card numbers for testing purposes.
• As a linkage with cloud storage services like Azure Blob Storage or Google Cloud Storage, data repositories can be kept secure.
• Use cloud-based services like Azure Analytics or Google Dataflow for data analytics which help you in analyzing and detecting patterns and anomalies.
• Utilize the machine learning algorithms (e.g., binary classifiers, unsupervised techniques) within Azure Machine Learning or Google’s Cloud AI Platform to identify the possible data leaks through the whole data pipeline.

9. Mass Emailing Project

This beginner-friendly project helps you build an email application using AWS Lambda that can send mass emails to a large audience. Let’s see how we can approach this project:

• Link up these other email or SMS services with AWS Lambda to bring together a low-cost approach to bulk mailing.
• SES (Amazon Simple Email Service) through AWS will send emails and SNS (Amazon Simple Notification Service) will conduct the email-sending process.
• Connect via AWS S3 (Simple Storage Service) to cause an email to be sent to the recipient as soon as they upload a CSV with the recipients’ details into it.
• This mini-project is good for students to experience what it is like to do the kind of job that engineers who work with AWS do

10. Blockchain Voting Process

Blockchain Voting Process In this project, you’ll develop a blockchain-based voting system that ensures transparency, and security and eliminates the risk of fraud or miscalculations. Here are some key aspects:

• Implement user identification using Ethereum addresses to maintain privacy.
• Ensure each eligible user can cast only one vote.
• Use the immutability and transparency of blockchain technology to record and count votes accurately.
• Allow mobile voting capabilities for added convenience.

Conclusion

We have looked at a range of projects that you can create from website development and face recognition to Kubernetes clusters and blockchain voting systems, each project presents a unique opportunity to harness the power of AWS and create something new.So in conclusion you can use any of these project ideas and the best part is you can also get the ideas of multiple services provided by Amazon under one roof in AWS. These project ideas are best suitable for beginners and intermediate and the advantage is you can take references and make your projects depending upon the specific requirements.

FAQs- AWS Project Ideas for Beginners

What is AWS and how is it different from traditional on-premises infrastructure?

AWS is a cloud based service platform that provides various services via internet. Unlike the traditional on-premises infrastructure, AWS provides access to compute resources, storage, and numerous other services on a pay-per-use basis without any upfront spending of capital assets and operational efforts.

Is AWS secure for hosting sensitive data and applications?

AWS is secure enough to host data and applications as it provides a complete set of security features and services that are used to implement security and protect the customer’s own websites. This enables the company to adhere to strict information security architecture, encryption, identity and access management, and industry standards and regulations.

What are some common use cases for AWS?

AWS offers us many ways to use it, but it can also meet our needs for more complex tasks such as web hosting, data storage and backup, big data analysis, machine learning, gaming and media streaming, etc. This adaptability and scalability means it suits the needs of businesses of all sizes and applications.