Rahil Parikh's repositories
Bird-Classifier
Flutter App capable of classifying 400 different species of birds using MobileNetV2. Upload an image from Google Drive or your phone gallery to accurately predict the species of the bird.
Gravitational-Lensing
Streamlit app that performs binary and multiclass classification of gravitational lensing images along with dark matter halo mass prediction.
Music-Genre-Recommender
Music Genre Recommender website that can identify and recommend 10 different genres of music using Light Gradient Boosting Machine (LGBM). An accuracy of 90% was achieved on the test set by tuning the hyperparameters of the model with Optuna.
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Fitness-App
Fitness App using flutter to track calories and calculate BMI
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LY-Honours-Project
LY Honours Project: Bird Species Classification Using Vision Transformers
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scikit-learn
scikit-learn: machine learning in Python
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