Combines a deployed logistic-regression screening model with a guideline-grounded retrieval and language-generation layer. The Streamlit application collects patient health indicators, computes a diabetes risk probability from the shipped model artifacts, extracts salient risk factors, retrieves relevant passages from medical guideline PDFs using FAISS and a CrossEncoder reranker, and produces structured JSON guidance through Gemini with a safe fallback when the API key is unavailable.

Studies airline passenger reviews to answer a practical business question: what does the customer experience look like across airlines, seat classes, and traveller segments, and where should airlines focus first to improve satisfaction and recommendations? The cleaned analysis dataset contains 22,329 passenger reviews across 497 airlines. The final dataset supplied for this report has six business- ready fields: airline name, overall rating, seat type, traveller type, recommendation flag, and rating category.

FlowSync is a Python-based traffic simulation project designed to model and analyze real-world traffic dynamics through a modular and extensible software architecture. At its core, the project focuses on simulating how individual vehicles behave, interact with one another, and respond to traffic control systems such as signals, intersections, and road rules. The goal is to create a flexible framework that not only supports realistic traffic scenarios but also allows developers to easily extend and customize different components of the system.

Data analytics project that examines water quality parameters such as pH, BOD, and dissolved oxygen to assess pollution levels across different regions. The project involves data cleaning, exploratory analysis, and visualization to identify trends, high-risk areas, and environmental patterns, with insights presented through interactive dashboards for better decision-making.