pramodkoujalagi
Generative AI | Data Science | MLOps | Prompt Engineering | LLMs | RAG | LangChain | Python | Vertex AI | AWS | GCP | Docker | Java | Go
TeamEpicKarnataka, India
Pinned Repositories
AI-News-Companion
This Streamlit application serves as a News Search Agent. I call it Newzy. The agent is capable of providing the latest news, along with links to relevant articles, and summarize the news based on the user's search query.
AI-Personal-Agent
The code sets up a Streamlit application where users can interact with a personal agent powered by various language models and tools, including OpenAI's GPT, DuckDuckGo search, and mathematical reasoning capabilities, enabling users to ask questions and receive responses.
Airbnb-Market-Trends
Exploring Airbnb Market Trends.
Analyzing-Crime-in-Los-Angeles
I have been asked to support the Los Angeles Police Department (LAPD) by analyzing crime data to identify patterns in criminal behavior. They plan to use your insights to allocate resources effectively to tackle various crimes in different areas.
Analyzing-Student-Health
Automated-Course-Content-Generator
Automated Course Content Generator (ACCG) is an AI-powered Streamlit app for SMEs, Content Creators, and Educators. Input Course Name, Audience Level, Difficulty, and Credits to get a dynamic course outline, full course content, and quizzes. Download everything as a PDF, PPT and customize as needed!
Char-isma
Char-isma is an Autoregressive Character-level Language Model.
Depression-Detection-Digital-Assistant-RoBERTa
Developed an automated system to detect signs of depression from digital data using the Hugging Face's roBERTa-base model from the transformers library in Python, achieving a 89.18% accuracy. Deployed the model in a Flask-based application for real-time analysis.
Erudite-MultiPDF-ChatBot
Erudite is an AI-powered intelligent chatbot that enables users to upload, analyze, and converse about multiple PDF documents, providing accurate and contextually relevant answers and insights.
Song-Popularity-Prediction-ML
Machine learning model to predict the number of streams a song receives in a year based on all the key attributes given in the dataset.
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