Abhishek Chandragiri's repositories
RAG-Powered-AI-Assistant-Transforming-Data-Retrieval-and-Analysis-Across-the-Web-and-PDFs
Harness the power of Retrieval-Augmented Generation with the Personal AI Assistant, an innovative tool designed to extract and synthesize information from web and PDF sources efficiently. This cutting-edge solution transforms complex data into concise, actionable insights, making it indispensable for researchers and professionals alike.
Text-to-Chart-AI-Transforming-Queries-into-Visuals
An innovative AI system developed to extract actionable insights by converting natural language into SQL queries via Google's Gemini model and dynamically visualizing the data with Plotly Express, streamlining decision-making across all levels of expertise.
Machine-Learning-Based-Loan-Default-Early-Warning-System
Developed an end-to-end ML system on Azure to predict loan defaults, leveraging advanced data preprocessing, feature engineering, and machine learning models to optimize accuracy. This project includes a comprehensive suite of tools and techniques for robust financial risk assessment, deployed to enhance decision-making for high-risk exposures.
Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline
An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.
Financial-Loan-Eligibility-Analyzer
Real-time Prediction of Loan Approval based on Customer Information
Fine-Tuning-LLaMA-2-with-QLORA-and-PEFT
This project enhances the LLaMA-2 model using Quantized Low-Rank Adaptation (QLoRA) and other parameter-efficient fine-tuning techniques to optimize its performance for specific NLP tasks. The improved model is demonstrated through a Streamlit application, showcasing its capabilities in real-time interactive settings.
Full-Cycle-ETL-Analytics-with-Google-Analytics-and-Snowflake
Explore the transformative power of data analytics in my portfolio, where Google Analytics and Snowflake converge to provide comprehensive insights. This project leverages advanced ETL techniques and real-time data integration to enhance user engagement and optimize content delivery effectively.
End-to-End-Employee-Churn-Prediction-with-Azure-Databricks
Developed an end-to-end machine learning solution for predicting employee churn using Azure Databricks, leveraging Spark for data processing, MLflow for managing the ML workflow, and deploying the model using Databricks model serving.
ML-Driven-Talent-Screening-System
The Advanced Resume Screening App is a powerful tool designed to optimize the hiring process by employing Natural Language Processing (NLP) and Machine Learning (ML).
Oil-Gas-Price-Forecasting-Model
The Oil & Gas Price Forecasting Model employs advanced machine learning and time series analysis to accurately predict oil and gas price fluctuations based on historical global reserves data and external market variables.
Real-Time-Customer-Segmentation-with-Scalable-Kubernetes-Deployment-and-CI-CD-Integration
Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment
AI-NLP-Based-Chatbot-Using-Dialogflow-for-Interactive-Portfolio
"Abhi's Portfolio Assistant" revolutionizes how my professional journey is shared, employing advanced AI and NLP to deliver a dynamic, interactive experience. This Dialogflow-powered chatbot provides an intuitive interface that answers questions about my qualifications and adapts with every interaction.
BMI-Prediction-with-MLflow-DagsHub
This project applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.
Stroke-Predection-
Stroke prediction using healthcare data
ProjectDataSets-Collection-of-Datasets-from-My-Projects
A curated collection of datasets from my diverse projects, meticulously documented and ready for exploration and innovation. Dive in to fuel your research, projects, and curiosity with data spanning various domains.