Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
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Updated
May 22, 2025 - Jupyter Notebook
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.
An Enthusiastic undergraduate with a passion for Data Science and Machine learning. With over a year of hands-on experience in the field, I'm constantly exploring the exciting world of AI and innovation. I've built a solid foundation in machine learning and Python.
It aims to detect whether a given text or prompt is authored by a human or generated by an AI model.
✨Use AI to generate commit messages
Deploying a Single Page Application with AI Integration for General Queries using Bedrock
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
C.O.R.E. is an all-encompassing cognitive architecture and applied integrations system for enabling AI technologies to interact fully as a personalized assistant. Autonomous agentic building, workflows, memory, and evolution are just a few things that CORE (Comprehension, Orchestration, Reasoning, Evaluation) can provide to harness LLM capabilities
A Flask-based AI chat application that allows users to interact with an AI model, save conversations, and manage chat sessions.
End to End Large Language Model projects using Gemini pro API for test and Gemini pro vision for Test and Images and Streamlit
This Streamlit application allows users to upload a PDF document and ask questions about its content using an AI model. The application utilizes the Groq API and the LLaMA model from Hugging Face to provide answers based on the extracted text from the PDF.
A Flask-based AI chat application that allows users to interact with an AI model, save conversations, and manage chat sessions.
This project demonstrates a Generative AI-powered assistant that streamlines the job application process using Google Gemini Pro. It analyzes a user’s resume against a job description, calculates a match score, suggests tailored bullet points, and generates a personalized cover letter — all formatted in structured JSON for automation.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
A implementation of StyleGAN and evaluation over a simple class generation using FID score.
Python-llama Agents, LLM-Rag-Application, Aenerative-AI, Machine-Learning. Model Training, Implementing various machine learning algorithms such as Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting. Model Evaluation: Assessing model performance
LectureSummarizer is an AI-powered website that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio interface, it helps students capture and review key lecture points efficiently.
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