8 AI Project Ideas for New Coders: Build Your Skills & Portfolio

Artificial intelligence is rapidly changing the world. Are you ready to dive in? Side projects are the perfect way to learn AI skills, build a killer portfolio, and even launch a successful business. These AI project ideas are perfect for beginners and will help you gain practical experience with this exciting technology.

Why Build AI Side Projects?

Taking on AI side projects offers many benefits:

• Hands-on Experience: Apply what you learn to real-world problems.
• Portfolio Building: Showcase your AI skills to potential employers.
• Skill Development: Master AI technologies like machine learning and NLP.
• Potential Business Ventures: Turn your project into a profitable business.

Ready to get started? Let's explore several AI project ideas.

5 Essential Tips Before You Code

Starting an AI project can be overwhelming. Here are 5 tips to set you up for success:

• Pick a Passion Project: Choose a project you genuinely care about.
• Focus on a Small Goal: Start with a manageable objective to build progress.
• Choose the Right Infrastructure: Select the right tools, such as cloud-based GPUs.
• Gather Relevant Datasets: Find well-documented data to train your AI models.
• Collaborate and Experiment: Join online communities to learn and find support.

Choose the Right Infrastructure

Selecting the right platform is crucial for AI projects. Optimize performance by selecting a cloud GPU, which significantly accelerates model training. Cloud-based GPU solutions offer flexible and cost-effective options for your AI workloads.

8 Engaging AI Side Project Ideas for Beginners

From chatbots to image recognition, these projects will help you explore many AI possibilities. Here are eight project ideas to kickstart your AI journey.

1. Create an AI Chatbot for Instant Engagement

Building an AI chatbot is a great starting point. Use NLP and pre-built models to easily create a chatbot. Focus on user response and text handling to create a functional chatbot without deep complex coding.

AI Chatbot Ideas:

• Podcast Companion Chatbot: Analyze transcripts and create natural conversation with user.
• Personalized Fitness Coach Chatbot: Tailor workouts based on user feedback and real-time data.
• Local Area Expert Chatbot: Answer questions about your community using curated information.

2. Build a Spam Filtering System

In this AI project, classify emails as spam or legitimate with NLP. Use classifier algorithms to determine the likelihood of spam. If you want to get more advanced, you can use deep learning models like CNNs or RNNs to detect complex text, metadata, or attachment patterns.

3. Develop a Translator App for Global Communication

Learn how AI handles language complexities with a translator app. Use NLP and machine translation to translate text between languages. Leverage translation APIs like Google Translate to focus on the user experience of your application.

4. Code a Handwritten Digit Recognition System

Recognize and classify images with a handwritten digit recognition project. Train convolutional neural networks by beginning with the MNIST dataset, consisting of thousands of images. Expand into optical character recognition (OCR) to process handwritten forms.