Geetika K

Built a machine learning model using Logistic Regression to predict loan approval by applying data preprocessing, feature encoding, model training, and performance evaluation techniques.

Analyzed COVID-19 data using Python by performing data cleaning, preprocessing, exploratory data analysis (EDA), and visualization to identify trends and generate meaningful insights.

Smart Agro Assistant is a multilingual AI tool that helps farmers with plant disease detection and crop recommendations. It uses image-based CNN models, AI-generated treatment advice, and voice/text interaction to make farming smarter and more accessible, even for non-technical users.

AI-Based Brain Tumor Detection an hospital-oriented web application that detects and classifies brain tumors from MRI scans using YOLO and EfficientNet. It supports Glioma, Meningioma, Pituitary Tumor, and No Tumor classification, with Grad-CAM visualizations, feature extraction, uncertainty analysis, and secure patient report management.

A multilingual voice-based text summarization system that converts spoken Indian regional languages into concise summaries. The system uses Whisper for speech-to-text, translation for language conversion, and a local LLaMA running through llama.cpp to generate summaries.

No project description available.