Developed a Deep Learning Framework to classify pulmonary diseases through respiratory sound analysis.
Transformed raw audio files into spectrographic images and employed CNN for accurate detection across 8 classes.
PythonDeep LearningCNNEfficientNetB0
Mood-Based Music Recommender System
Built a real-time playlist recommender integrating facial emotion detection and sentiment analysis.
Mapped emotional states to Spotify’s track features (valence, tempo) to generate dynamic playlists.
Deployed an interactive UI using Streamlit for user engagement.
DenseNet121StreamlitHugging FaceDistilBERTSpotify API
Efficient ETL Pipeline
Developed a streamlined ETL (Extract, Transform, Load) pipeline to enhance data transfer and visualization via a web dashboard, improving error reporting using AWS services.
AWS RedshiftAWS GlueCloudWatchQuickSight
Customer Segmentation
Employed clustering algorithms to analyze customer behavior and spending patterns, resulting in a segmentation model that enables targeted marketing strategies.
ExcelPythonPandasNumPyMatplotlibSeaborn
Detection of Mental Health
Predicted mental health for adults using machine learning models like Logistic Regression, Decision Trees, Random Forest, KNN, and SVM on organizational employee data.
Achieved 84.
23% accuracy with cross-validation and feature selection.
Developed and optimized machine learning models, including LDA, Logistic Regression, KNN, SVM, and Random Forest, for multi-class classification of 7 crop types.
Improved accuracy through effective preprocessing and hyperparameter tuning.
RMachine Learning
Project Management System - Bhumi
Developed a WhatsApp Proof of Concept for Tech4Change using Twilio and Streamlit, enabling users to submit service requests seamlessly.
Implemented automated messaging for efficient communication.
PythonTwilioStreamlit
Age and Gender Detection
Built a model to predict age and gender from images or webcam streams using computer vision techniques and Convolutional Neural Networks (CNN) with CaffeNet architecture.