Saravana Kumar's repositories
Better-call-Saul-LaywerGPT
"Better Call Saul (Lawyer-GPT) is a Generative AI model created for the purpose of providing legal advice for user queries on legal issues. It was developed during the GDSC Hackathon 2023."
Pre-Doctor-AI-model
Pre-Doctor is an AI-driven health advisor using sci-kit-learn, offering quick medical advice based on user-input symptoms, making healthcare accessible and user-friendly. Utilizing Flask and pyttsx3, it seamlessly integrates machine learning for informed well-being.
AI-detector
Python program designed to distinguish between AI-generated and human-authored text, helping identify the source of written content based on unique characteristics.
Calculator-App
A Simple Calculator application built using Julia
Car-prices-prediction
This data science project employs machine learning to predict car prices, leveraging historical data on factors like make, model, mileage, and year to provide valuable insights for buyers and sellers in the automotive market.
Email-Spam-Detection
Phase 2 of Data Science project (program) to Analysis Email spam Detection using Python On Google Colab for Coderscave Internship sept 2023
Exploratory-Data-Analysis-Terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
Insyt-Your-Intelligent-Data-Analysis-Tool
Insyt is a Streamlit-based application for performing classification and regression tasks on your datasets.
Stellar-Motion-using-MATLAB
In this MATLAB project, we explored the spectrum of the faint star HD94028 in Leo. Using diffraction grating results, we aim to discern the star's motion and whether its spectrum indicates a blue shift (toward Earth) or redshift (away from Earth).
Unemployment-Analysis
This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.