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Ready to give your portfolio a boost with generative AI projects?
If youre looking to impress recruiters, this article is just what you need.
Ive curated fantastic generative AI projects to make you stand out in the field of data science.
This project can create a unique impression on recruiters.
GitBug-Actionsis a tool that utilizes GitHub Actions to create bug-fix benchmarks.
The tool mines GitHub repositories and navigates through their commits, locally executingGitHub Actions using actin each commit considered.
However, thats not all, I also have some more exciting projects lined up in this article.
Its primary goal is to enhance productivity by providing intelligent suggestions and context-aware recommendations during coding.
While it may seem like a challenging project, dont worry.
Below, I have provided a tutorial to guide you in building your project.
The extension sends coding assistance requests to the PaLM API and incorporates the replies into your code editing window.
PaLM is a Generative AI Large Language Model created and maintained by Google.
The experience and skills gained from this project will significantly enhance your portfolio, making it stand out.
This can be another headache for data scientists or developers.
Therefore, a potential solution exists: the Code Documentation Generator.
A code documentation generator is a tool that automatically creates documentation for your source code.
It helps developers, users, and other stakeholders easily understand, use, and maintain the codebase.
Creating a code documentation generator using a language model involves several steps.
The details may vary based on your chosen model and project requirements.
Select a pre-trained generative AI model suitable for code-related tasks.
Train the model on your dataset.
Fine-tuning adjusts the pre-trained models weights to better suit your specific use case.
Once the model is fine-tuned, set up an inference pipeline to generate documentation for new code snippets.
There are different tools you’re free to use for documentation according to programming language.
Utilize these tools to generate your project, and they will be helpful for your portfolio.
Im currently working on code documentation, and Ill be sure to share my experience with you.
For now, lets move towards our next project.
However, have you ever wondered whether it’s possible for you to develop one yourself?
The answer is yes!
Now, you might craft your writing assistant using generative AI.
Trust me, this project can significantly enhance the appeal of your portfolio.
If youre using a writing assistant tool, you might be familiar with these features.
Lets explore how it’s possible for you to create your own.
Building an AI writing assistantwith Wordcraft is a tutorial by Google.
Now, you have the option to contribute to or take code references from Wordcraft to build your project.
it’s possible for you to acquire the skills needed to build your own writing assistant.
However, if you aim to strengthen your portfolio, consider adapting code and enhancing it accordingly.
But there are lots of writing assistants in the market.
you might create your own language translator along with a writing assistant.
Language Translator
Creating language translator projects is important for breaking down language barriers and promoting global communication.
These projects involve using natural language processing, machine learning, and software engineering techniques.
Working on such a project can enhance your portfolio and demonstrate your skills in these areas.
It is one of the easiest projects that you could complete within a few steps.
Lets discuss the project.
InLanguage Translator using Pythonproject, youll use libraries like Tkinter for GUI and googletrans for the Google Translate API.
The tutorial highlights the relevance of text translation for global websites and introduces the translation package.
I will take a stab at create a project that combines a writing assistant and a language translator.
Ill double-check to share it with you.
This is one of the best generative AI projects that you’re free to add to your portfolio.
you might convert any text to speech using Python.
it’s possible for you to use libraries likePyPDF2andpyttsx3.
Now, lets move towards our next project.
Engaging in such a project can enhance your portfolio significantly.
There are plenty of tutorials and research papers available on PDF documentation or summarization of large articles.
I would like to suggest this one.
There are various tutorials present all over the web and on YouTube.
One of them is toBuild a Document Summarization App using LLM on CPU: No OpenAI.
Well use a top-notch language model called LaMini-LM, which is advanced and helps us understand documents well.
I was part of a team working on document summarization during my internship.
It is an open-source project.
If you want to collaborate on such projects in groups, you might connect with interested participants on LinkedIn.
At the same time, it may take some time to achieve quality results.
But, I believe that the learning gained from the process is invaluable.
Making your own chatbot is both challenging and rewarding.
It is one of the most trending projects in the field of generative AI.
Lets understand how you’re able to create your Q&A chatbot.
Your project should showcase a unique and distinctive aspect to leave a lasting impression.
I would like to suggest the Building a ChatGPT-like Chatbot using Langchain and Hugging Face project.
This project teaches you how to create a chatbot and develop an interface similar to ChatGPT.
Enhance your chatbot by providing various types of data.
I have built a simple chatbot using Python with the simple steps that I mentioned in the project idea.
However, for a generative AI portfolio, advanced chatbots with greater efficiency would be great.
Interactive Storytelling Video
You may have come across AI-generated images and videos on YouTube or Instagram.
Generative AI proves useful in creating such videos.
Interactive storytelling is a form of storytelling in which you allow your audience to decide the ending.
This project requires creativity to generate high-quality content.
If you lack ideas on how to write a story, you oughta follow five simple steps.
For more information, you’ve got the option to read TheArt of Storytelling.
I have created a few videos following these steps, and the results are satisfying.
It acts as a valuable resource for collecting and managing knowledge within a particular domain or organization.
Knowledge bases can take various forms, including databases, wikis, documents, or other structured formats.
It is one of the challenging projects.
you’re able to improve your portfolio using this project.
Before working on this project, checking all requirements is necessary.
it’s possible for you to work on this project in a group.
It will help you discuss and grow.
It was the first step towards fashion recommendation.
Even after generating images, it’s crucial that you present them according to the users requirements.
For that, I would like you to read the project I have mentioned below.
Building a PersonalizedReal-Time Fashion Collection Recommenderis an article written by Kai Xin Thia.
The articleTalk to Your SQL Database Using LangChain and Azure OpenAIby Satwiki De.
Hence, its time to improve our skills by engaging in these projects.
