Rithika Annareddy's repositories
Stock-Price-Prediction_Sentiment-Analysis
By integrating stock price prediction with sentiment analysis, analysts and investors can gain a more comprehensive understanding of the factors influencing stock prices
Financial-Analysis-Toolkit
Streamlined tool for risk assessment and option pricing with VBA arrays. Includes VaR, CVaR, Merton Rate simulation, and various option pricing models like BSM, Greeks, and CRR binomial models.
S-P-500-Options-Analysis
Conducted a project comparing ANN, LightGBM, SVM, and Black-Scholes model in pricing and delta hedging on 1M+ observations of European-style S&P 500 call options. Explored various volatility estimation techniques, and utilized GARCH
Volatility-Arbitrage
Constructed a bot to extract real-time data from NYSE's option chain for equity derivatives market analysis. Developed an options tool with key indicators (Open Interest, Put Call Ratio, Implied Volatility) to detect market actions.
Recession-Prediction
Uses Machine Learning to detect whether the United States is entering a recession.
GraphPoint-Extractor
Performed image processing techniques to extract data points from graph plot.
Global-Supply-Chain_Sentiment-Analysis
The global supply chain is a crucial driver of the world economy, enabling the movement of goods and services worldwide and directly impacting economic growth. Analyzing sentiment surrounding the global supply chain in March 2024 reveals whether it's positive or negative, offering insights into improvements and disruptions.
fastbook
The fastai book, published as Jupyter Notebooks
T20-world-cup-cricket-data-analytics
Developed a report to identify top 11 players for a T20 cricket team.
Aegean-Employment-Scams-Detection-App
AI-powered classifier mobile app using NLP to spot fake job ads and protect users from online scams. Our system analyzes language patterns and leverages algorithms to create a safe and trustworthy job search experience.
Boston-Housing-Analysis
Provided valuable insights into the predictive performance of different modeling methodologies for housing price prediction in Boston. It suggests that a combination of linear and non-linear models can be effective and lays the foundation for further research and practical applications in this domain.
King-County-Housing-Price-Prediction-Web-App
This project enables figuring out the key features that determine the sales price of houses. The resulting Web App helps real estate developers, individual buyers, and banks seek the best area in King County to develop new apartment buildings or make purchases.
Yolov8Tutorial
Getting started with yolov8 for inference
US_Economic_Data_Analysis
Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.
Rithika-Annareddy.github.io
Welcome to Rithika's Portfolio! Explore my projects and achievements in AI, Machine Learning, and Data Science.
Chest-XRay-Disease-Diagnosis
Diagnosing respiratory and cardiovascular conditions from Chest X-Ray images utilizing Convolutional Neural Networks (CNNs), including AlexNet, ResNet18, and Inceptionv3.
Potato-Disease-Classification-Mobile-App
To combat yearly economic losses and crop waste caused by potato plant diseases, we're creating a mobile app. This app uses CNN image classification to let farmers snap a photo of a potato plant and instantly know if it's diseased. By providing quick and accurate information, farmers can take immediate action to prevent crop loss and enhance yield.
Buckeyes-Football-Face-Recognition-Web-App
This model classifies and recognizes sports personalities using OpenCV library and classification algorithms after Wavelet transformation.
NYC-Green-Taxi-Trip-Price-Prediction
This project provides insights into NYC Green Taxi data, uncovering travel patterns, predicting fares, and optimizing pickup locations using machine learning techniques.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Smilow-Dentistry-Database
The Smilow Dentistry database streamlines operations by managing patient records, employee data, insurance details, and procedures. Extensive research identified key entities and relationships to optimize scheduling and billing. Continuous updates ensure alignment with evolving needs, enhancing service delivery and productivity.
Olympic-Data-Analysis
The study seeks to provide insights into the attributes associated with podium finishes, potentially informing training and talent identification strategies.
Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Data-Science-Interview-Questions
A curated list of data science interview questions from iNeuron.ai's repository, helping individuals prepare for data science job interviews with a comprehensive set of questions.
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
tinder-mern
This project is a clone of the popular dating app Tinder, built using the MERN stack (MongoDB, Express.js, React.js, Node.js)