UNIFIED ETL PIPELINE FOR PATIENT’S STATISTICS DASHBOARD
Built a real-time optimized ETL pipeline for distributed systems reducing data loading time by 15 minutes and an adaptive patient forecasting system
Technologies:PostgreSQL, Kafka, PySpark and Power BI
Automated Invoice Processing and Predictive Inventory Management
Implemented YOLO V8 and OCR technology to automate invoice data entry, reducing manual processing time by 60 hours per week and improving data accuracy by 85%.
Technologies: YOLO V8, OCR, Python, TensorFlow
Brain Tumor Detection Using Deep Learning with XAI
Developed a CNN-based deep learning model to classify MRI brain scans into glioma, meningioma, and pituitary tumors. Achieved 96.5% accuracy using an cnn model with preprocessing and data augmentation on 3,064 T1-contrast images.
Technologies: Python, TensorFlow, Keras,LIME, Grad-CAM
Data Visualization Dashboard
Interactive Dashboard for Monitoring Sales and Analyzing Customer Behavior in a Metal-Based Business
Technologies:Power BI
Agricultural Intelligence Web App
Developed a Flask-based web application that predicts the best crop and fertilizer based on soil and environmental data, and diagnoses crop diseases from leaf images. Integrated machine learning models for recommendations and a DenseNet201 deep learning model for image classification.
Technologies: Flask, Python, Scikit-learn, TensorFlow, Keras, HTML/CSS
Modules:Crop Recommendation, Fertilizer Suggestion, Disease Detection
Movie & Book Recommendation Using Twitter Sentiment Analysis
Built a personalized recommendation system that analyzes user tweets to identify sentiment and map it to relevant genres. Leveraged Twitter sentiment analysis and a Multinomial Naive Bayes classifier to predict user preferences and suggest matching movies and books. Integrated a Streamlit interface for real-time recommendations.
Technologies: Python, Streamlit, Tweepy, Scikit-learn, NLP
Algorithms Used: Multinomial Naive Bayes, Genre-Sentiment Mapping
Secured departmental store management
A system for efficiently managing supermarket operations using computerized tools to streamline processes, store data, and enhance staff productivity.
Technologies: c++
