This blog post outlines five unique AI projects suitable for beginners to intermediate developers, covering prompt engineering, coding, and building full applications using tools like LangChain, OpenAI, and various APIs. Each project is structured into three levels of complexity, allowing readers to progressively enhance their skills in AI and Python programming.
In this blog post, we will explore five unique AI projects that you can start working on immediately. Each project is designed to cater to different skill levels, from beginner to intermediate, and will involve various tools and techniques in the AI landscape. Whether you are interested in prompt engineering, coding, or building full applications, there is something here for everyone.
For the first project, we will create a personal finance AI chatbot. At this level, you will focus on prompt engineering using platforms like ChatGPT or GPT-4. Start by downloading your bank statements for the period you are interested in. Use the 5W framework (Who, What, When, Where, Why) to structure your prompts.
At this level, you will need to implement some coding. Download the necessary libraries to programmatically analyze your financial data. You can loop through your statements, summarize them, and categorize expenses into essentials and non-essentials.
For the final level, you will create a custom web application using LangChain for retrieval-augmented generation (RAG) and Flask for the backend. This will allow your AI chatbot to access specific data sources and provide more accurate financial advice.
This project involves creating a personal AI assistant that can interact via video. Start with prompt engineering to define the assistant's capabilities and personality.
In this level, you will implement video processing using OpenAI's API. Extract audio from videos using Whisper, convert it to text, and analyze it frame by frame.
Finally, use Shiny to build a web application that allows users to interact with the AI assistant through video. This will enhance user experience and make the assistant more engaging.
Create a personalized AI travel app that helps users plan their itineraries. Use the 5W framework to gather user preferences and travel goals.
Utilize Make.com to automate the creation of calendar events based on the itinerary generated by your AI. This will help users keep track of their travel plans.
Incorporate APIs like Google Maps and weather data to create a visual dashboard that tracks the user's journey and provides real-time updates on their travel plans.
Experiment with AI music generation platforms like Udio and Suno. Generate music tracks and playlists that can be used for various purposes, such as study sessions or live streams.
Use Udio's API to programmatically create playlists from the generated tracks. This will streamline the process of compiling music for different occasions.
Enhance the music experience by generating imagery that corresponds to the mood of the tracks. Use OpenAI's DALL-E to create visuals that can accompany the music in a playlist format.
Inspired by personal finance books, create AI-generated workbooks that compile exercises and questions from various texts. Use prompt engineering to summarize the content and extract relevant questions.
Utilize Bubble, a no-code app builder, to connect to the OpenAI API and automate the workbook creation process. This will allow you to generate multiple workbooks efficiently.
Incorporate PDF.co to edit and format the generated workbooks. This will enable you to create polished, user-friendly documents that can be easily filled out by users.
These five AI projects provide a comprehensive overview of how to leverage AI tools and programming skills to create innovative applications. Whether you are just starting or looking to enhance your existing skills, these projects will help you explore the vast possibilities within the AI landscape. Don't forget to share your GitHub links if you decide to work on any of these projects, and feel free to suggest other project ideas as well!
