Machine Learning Projects
Air Quality Prediction
Predicting air quality using Three Stacking Regressor.
Pandas
Scikit-Learn
Stacking Regressor
Key Achievements:
- Achieved 0.99 R2 score on the test set
- Implemented a stacking regressor model containing XGBoost, LGBM, and Catboots
- Utilized Scikit-Learn for model training
- Applied data preprocessing techniques
NutriMate: ML Nutrition App
Personalized meal planning using collaborative filtering.
Python
TensorFlow
Collaborative Filtering
Key Achievements:
- Achieved 1.872 MSE on the test set
- Implemented a collaborative filtering model
- Utilized TensorFlow for model training
GenderScanner: Gender Face Recognition
Predict Gender from facial images
Android
Kotlin
Picpurify
Key Achievements:
- Real-time prediction of gender from camera input
- Face detection and preprocessing using Picpurify API
- Modern Android UI built with Kotlin
- Displays prediction confidence score
MeatIDentify
Classifying meat using Convolutional Neural Network.
Python
MobileNetV3 Large
TensorFlow
Key Achievements:
- Achieved 0.97 accuracy on the test set
- Implemented a Convolutional Neural Network model
- Utilized TensorFlow for model training
- Used MobileNetV3 Large as a base model