So I am organizing an AI seminar.
What are possible AI projects in the AI for good spirit? something the students can do and have an impact?
Eric Dolores
It is a good initiative. Following are some project ideas that align with your seminar theme and can empower students to make a positive impact. Remember, the level and complexity of these projects can be adjusted according to skills and level of the students participated in this seminar:
- Chatbots for Mental Health Support
- AI-powered Education Accessibility platform that adapts educational content for students with disabilities
- Fake News Detection
- Crop Disease Detection
- Environmental Monitoring Systems
- Sentiment Analysis system
- Image Captioning
- Predictive Healthcare Models
- Text Classification
- Object Detection
- Recommendation system
Hussain Nizam I guess I am slightly worried about practicality, where can I find helpful databases, for example?
Just to expand, the data used to train chatbots for Mental Health can be problematic if the people were not aware their dialogues are used to train an AI model. A well known company did this years ago and it was controversial but I didn't follow the recent news on the field.
The Crop disease detection and Environmental monitoring systems actually sounds interesting! Any place to find datasets?
As for image captioning, text classification, object detection and recommended systems, can you be more specific? specially the image captioning one.
Eric Dolores
You can find datasets for Crop disease detection, Environmental monitoring, and other AI/ML projects:
- https://www.kaggle.com/datasets?search=crop+disease
Article Plant diseases and pests detection based on deep learning: a review
- https://datamagiclab.com/25-sources-to-find-free-datasets-for-data-science-projects/
- https://atlas.co/blog/free-data-sources-for-environmental-data/
- https://anyinstructor.com/free-data-sets/
- https://data.mendeley.com/datasets/bwh3zbpkpv/1
- https://github.com/topics/crop-disease-detection
- https://research.aimultiple.com/datasets-for-ml/
Eric Dolores
Image captioning is an interesting project which combines computer vision and natural language processing (NLP) techniques. Its primary objective is to automatically generate descriptive sentences or phrases to accurately describe any image. The process begins with the analysis of a given image using computer vision techniques to identify and understand the various objects and scenes present within the image. Once the image has been processed and understood, the system leverages natural language processing to construct a coherent and contextually relevant caption.
The potential applications of this project are broad and impactful, including enhanced accessibility for visually impaired individuals by providing detailed descriptions of images, automatically generating captions for social media photos, and improving content indexing for search engines.
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