Founder and President of
Artificial Intelligence and Machine Learning Club
My AI ML Project Portfolio
Species Classification
Due to invasive species, the bird population is declining or constantly migrating as native habitats are not providing a suitable environment for food and nesting. This is causing biodiversity loss.
Air quality Prediction
Air pollution is not just smog emitted from vehicles passing by. The air composition is made of spores, soot,pollen,dust, pathogen and all of these elements degrade the air quality.
Building a ML model to learn and and re-enforce the learned model requires to take into account, temperature, wind speed, humidity, sea level pressure to calculate Air Quality Index.
Invasive Species Identification
Implementation of Artificial Intelligence and Machine Learning prediction model for identifying invasive species in biospheres, using CNN model, required to use the 5 layers of hidden layers to augment image to imitate the various conditions. This is the first working of 5 layers of functional CNN model.
Plant Disease prediction
The use of AI ML to predict plant disease through image recognition and classification of plant leaves was personal to me, given to the current severe imbalance in our bio-spheres
Heart Attack Risk Predictor
This is the most basic ML project, which reads data from csv file using panda library, plots the heat maps and various histograms.
The scikit learning library creates model in a standard scalar format from pandas object.
The middle layer trains the model and dataset is subjected to various ML prediction models and the one with higher accuracy is picked such as -
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Logistic Regression and Decision Tree
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Random Forest, K Nearest Neighbour and SVM Highest Accuracy Prediction model is is saved in to.h5 file and can be deployed into a webpage
Skin cancer Detection
Skin Cancer diagnostic images are used to train the CNN network. The images are augmented with 7 middles to improve prediction accuracy.
