amarnathagowda's Projects
Using the Angular and Ionic frameworks, we created an app to track a student's attendance.
This project aims to develop an AI-Enhanced Recruitment System that leverages advanced natural language processing (NLP) techniques to automate and enhance the recruitment process.
Config files for my GitHub profile.
AttriSense leverages machine learning to predict employee attrition, helping companies understand which employees are likely to quit and enabling proactive retention strategies
This will be Angular and Spring boot aplication, We are adding all the basic functionalty for this Project.
Building a chatbot which have the memory of the previous conversation with Llama 2, Langchain and Streamlit.
A Smart Approach to Personalized Reading Recommendations
Sending the request to Cloudmersive to call the NLP modules output based on our API request
A versatile code assistant tool leveraging CodeLlama's Llama2 AI to enhance coding efficiency and accuracy for developers.
PulmoVision uses CNNs to analyze CT scans, accurately identifying chest diseases, aiding swift and precise diagnostics.
finetuning the Gemma 2B model using LORA technique
RAG-based interview question and answer generator utilizing the OpneAI GPT model
Project collections of Java Spring Boot
Its Angular project whih will recive the data from any APIS as per the defind format. Provide the analitics data and the report.
Public repo for the 365 Data Science ML Process Course
MULTILINGUAL AI ASSISTANT
Using this technique you can Integrating the OpenAI API in any of your project
Our project aims to predict the outcome of US visa applications by developing a sophisticated machine learning model. This model processes a series of input data to determine the likelihood of visa approval
Diamond price prediction and application using FastAPI
A step-by-step explanation of all Python concepts
Buliding the HR Q & A with Retrieval Augmentd Generation
Developing a resume parsing tool using ML and spaCy's NER capabilities. It automates extraction of key info from resumes, enhancing recruitment efficiency. Features include accurate data categorization, learning algorithms, and a user-friendly interface.