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- Industry
- Geography
Artificial intelligence is gaining overwhelming response and acceptance from across the world with smart functionalities. Tech aspirants who have just graduated are looking out for different ways to gain exposure to the wide field to kickstart their careers. Thus, working on an AI project provides a lot of experience and knowledge hands-on to know in-depth about their weaknesses and strong areas. There are multiple mini-AI that can transform tech aspirants from being noobs to pros within a short period of time with a valuable AI model. An AI project can also add value to portfolios for getting recruited by reputed companies. Let's explore some of the top ten mini-AI project ideas for tech aspirants to work on in 2022.
Tech aspirants can work on predicting the house price as one of the top mini-AI project ideas in 2022. It is a simple and challenging AI model to have exposure to artificial intelligence and its components. This AI project involves a programming language, Python, to help sellers and buyers to act according to the housing price. Software like Jupyter Notebook and libraries like Pandas, NumPy, and MATPLOTLIB can help tech aspirants in this mini-AI project idea.
Stock price prediction is one of the leading mini-AI project ideas for tech aspirants to add value to portfolios. The combination of artificial intelligence, machine learning, and Python algorithms helps to predict stock price with neural networks as well as a dashboard with Plotly dash for data analysis. Tech aspirants should import data, read the data, analyze the closing prices from a data frame, sort the dataset on data time and filter, normalize the new filtered dataset, build and train the LSTM model, save the LSTM model, as well as visualize the predicted stock costs with the actual costs for completing this AI project.
Creating chatbots is one of the top mini-AI project ideas as it is in high demand in the current global tech market. This AI project ensures to add value to the portfolios of tech aspirants in 2022. This AI model needs Python for a deep learning chatbot with modules like nltk, Tensorflow, NumPy, learn, and pickle. The artificial intelligence project file structure includes intents.json, training.py, training_data.file, chatbot_model.h5, testing.py, and chatbot_gui.py.
Online assignment checking mini-AI project ideas is flourishing among tech aspirants, especially post-pandemic. The main aim is to build an artificial intelligence system to check a document for plagiarism for businesses as well as educational institutes. Python Flask or text mining with a vector database known as Pinecone can help in this AI model.
Tech aspirants can work on mini-AI project ideas like fake news detectors to address the current issue with machine learning, artificial intelligence, and Python. Tech aspirants should build a classifier to detect and differentiate between real and fake news. Libraries such as Python, Pandas, Scikit-Learn, and NLTK can be used in this AI model.
This AI model needs the use of the TextBlob library in Python to transform the mini-AI project idea into reality. It helps to identify incorrect words and replace those with the closest word to the one-typed. Tech aspirants can improve the limitations of the AI model through the pre-trained NLP model such as BERT for creating an appropriate autocorrect tool.
The translator app is one of the top mini-AI projects with the high-level Python web framework known as Django. This AI model can be successful with the help of a transformer to extract features from sentences and determine the importance of each word in a sentence. Tech aspirants should load the pre-trained transformer model into Python with the GluonNLP library.
The traffic prediction mini-AI project idea leverages Python, machine learning, and artificial intelligence to predict traffic efficiently and effectively in a particular area. It involves a sufficient amount of relevant information in the dataset. Tech aspirants can offer an application for this AI model into a demo map for more efficient purposes.
Colour detection is one of the top AI projects for tech aspirants to build and gain sufficient knowledge of artificial intelligence. This mini-AI project idea offers to build an application through which tech aspirants can automatically receive the name of the colour. It consists of a data file consisting of the color name as well as values. The primary three colors in this artificial intelligence project are red, green, and blue.
Blindness detection is gaining popularity as a useful AI project on Kaggle where the tech aspirants need to develop a strategy for designing an AI model system to identify the category of blindness. There should be four categories in the dataset such as no dr, mild, moderate, severe, and proliferative dr.
