AI mini projects! Creating engaging and non-spammy content in emails is crucial when sending them in bulk to avoid having them marked as spam. Here are a few AI mini project ideas you might find interesting:

1. Sentiment Analysis on Social Media Posts: Build a sentiment analysis model that can classify social media posts or comments as positive, negative, or neutral. This could be useful for brand monitoring and understanding customer opinions.
2. Image Classification with Convolutional Neural Networks (CNNs): Develop an image classification model using CNNs to categorize images into different classes. You can use popular datasets like CIFAR-10 or MNIST for this project.
3. Chatbot Using Natural Language Processing (NLP): Create a simple chatbot that can hold conversations with users. Use NLP techniques to process and generate human-like responses. This could be a great addition to customer support systems.
4. Predictive Text Generation: Build a model that generates coherent and contextually relevant text based on a given prompt. This can be achieved using techniques like recurrent neural networks (RNNs) or transformers.
5. Recommendation System: Develop a recommendation system that suggests products, movies, or articles to users based on their preferences and browsing history. Collaborative filtering and content-based approaches can be explored.
6. Handwriting Recognition: Create a model that can recognize and transcribe handwritten text into digital text. You can use datasets containing handwritten characters for training.
7. Anomaly Detection in Time Series Data: Build a model to detect anomalies in time series data, such as irregularities in sensor readings. This could be valuable for identifying unusual behavior in various applications.
8. Fake News Detection: Develop a model that can identify fake news articles using machine learning techniques. You can use datasets with labeled fake and real news articles for training.
9. Gesture Recognition: Build a model that recognizes hand gestures from images or video streams. This can have applications in sign language translation and human-computer interaction.
10. Health Monitoring Using Wearable Devices: Create a model that monitors health data collected from wearable devices, such as heart rate and activity level, and provides insights or alerts based on patterns.