AmarnathaGowda's repositories
AI-Enhanced-Recruitment-System
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.
AttriSense-Employee-Attrition-Prediction
AttriSense leverages machine learning to predict employee attrition, helping companies understand which employees are likely to quit and enabling proactive retention strategies
Finetuning-Gemma-model-LORA
finetuning the Gemma 2B model using LORA technique
StockWiseAI
We will build the chatbot using this stock data and a third-party API. The technologies used are Python, Langchain, GeminiPro, and AWS.
RAGHRChatApp
Buliding the HR Q & A with Retrieval Augmentd Generation
InterviewQGen
RAG-based interview question and answer generator utilizing the OpneAI GPT model
BedrockChatBot
Building a chatbot which have the memory of the previous conversation with Llama 2, Langchain and Streamlit.
BookWise
A Smart Approach to Personalized Reading Recommendations
CodeLlamaAssistant
A versatile code assistant tool leveraging CodeLlama's Llama2 AI to enhance coding efficiency and accuracy for developers.
MultiLingAI
MULTILINGUAL AI ASSISTANT
AmarnathaGowda
Config files for my GitHub profile.
talent-scan
TalentScan: Precision Resume Parsing with NER
CTChestDxAI
PulmoVision uses CNNs to analyze CT scans, accurately identifying chest diseases, aiding swift and precise diagnostics.
PredictUSVisaAprrovel
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
Price-Prediction
Diamond price prediction and application using FastAPI
ResumeParsing
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.
OpenAIAPI
Using this technique you can Integrating the OpenAI API in any of your project
CloudmersiveAPI
Sending the request to Cloudmersive to call the NLP modules output based on our API request
ML_Process_Course
Public repo for the 365 Data Science ML Process Course
SimpleCalculator_Python
Its a Simple calculator built using the Python and Flask