AI research copilot that turns papers into structured extractions, summaries, architecture diagrams, and PyTorch code through a 10-stage LangGraph workflow.
A full LLM fine-tuning lifecycle on free-tier GPUs: QLoRA results, GPTQ vs AWQ, and where serving benchmarks hit a hardware wall.
PyTorch implementation of core Qwen3.5 architecture components: GQA, SwiGLU, RoPE, and RMSNorm; validated against the official implementation.
This application uses OpenCV to overlay glasses images on detected faces in real-time from a webcam feed. The user can cycle through different glasses images using keyboard inputs.
This project demonstrates how to create an invisibility cloak effect using OpenCV library in Python. The effect is achieved by capturing video from a webcam and applying image processing techniques to make a selected color range appear transparent.
This Streamlit app generates human faces using a Generative Adversarial Network (GAN) model.
This project uses PyTorch for model development and Gradio for the user interface to classify the emotions of dogs from images. The classifier identifies emotions as happy, sad, angry, or relaxed.
This is a simple genetic algorithm implementation for machine learning. It is a simple example of how genetic algorithms can be used to optimize a function.
This project aims to explore the field of music generation using MIDI files. MIDI (Musical Instrument Digital Interface) is a widely used file format for representing musical notes and events. By leveraging machine learning techniques, we can generate new musical compositions based on existing MIDI files.
This repository contains code and resources for number plate detection using YOLO (You Only Look Once) object detection algorithm and Gradio for building a user-friendly interface.
This project focuses on breast cancer detection using machine learning techniques. The primary tools used in this project are Pandas, Scikit-learn, and MLflow.
This project focuses on predicting crop yields using multiple machine learning algorithms. We utilize MLflow for tracking experiments and managing the machine learning lifecycle.
This project is a Medicine Recommendation System built using a Decision Tree Classifier. The system predicts diseases based on symptoms and provides recommendations for medications, precautions, workouts, and diets.
This project demonstrates how to build a Question-Answering (QA) bot using LangChain, FAISS, and Google Generative AI. The bot is designed to answer questions based on a given context from a CSV file containing FAQs.
This project demonstrates how to build a SQL bot using LangChain, Google Generative AI, and Streamlit for the user interface. The bot is designed to interact with a MySQL database and generate SQL queries based on user input.
This project implements a Digital Twin for predictive maintenance and anomaly detection on sensor data, specifically for manufacturing machines. The solution aims to forecast potential machine failures, detect anomalies, and simulate maintenance optimization, helping manufacturers reduce downtime and manage machine lifecycle more effectively.
Image captioning with attention mechanism achieving 91% accuracy. Full MLOps integration for model tracking and performance improvements.
Sound classification model trained on 8,000+ audio samples with MLflow experiment tracking.
This app summarizes and translates news articles using a combination of machine learning models to detect the language of the article, translate it to English, summarize the content, and predict the sentiment of the article.
Lip-to-text model with 87% character accuracy and 25% faster inference via TorchServe. Streamlined experiment cycles using MLflow.
LinguistAI is a minimalistic implementation of a GPT (Generative Pre-trained Transformer) model. This project is inspired by Andrej Karpathy's minGPT and aims to provide a simple and easy-to-understand codebase for learning and experimenting with GPT models.
Gen-AI resume analyzer and cold email generator using LangChain and LLMs with a Streamlit interface.
This project aims to optimize air traffic management using advanced machine learning and deep learning techniques. The goal is to improve the efficiency and safety of air traffic operations.
This repository demonstrates how AI agents can assist in resume tailoring and interview preparation by analyzing job postings, extracting relevant skills, and optimizing application materials. The multi-agent system leverages Amazon Bedrock and CrewAI to automate resume enhancement and interview readiness.
This project implements an AI-powered job scheduling system that combines Reinforcement Learning (RL) and traditional scheduling algorithms to optimize job scheduling. The system is designed to predict job schedules, evaluate performance metrics, and compare RL-based scheduling with baseline algorithms.
This project is a web application designed to create personalized newsletters for users based on their interests and chosen RSS feeds. It leverages FastAPI for backend functionality, Streamlit for the user interface, and sentence-transformers for AI-driven semantic similarity matching.
PDF document maker where you can upload images , crop them or let AI scan them, with control such as add image at start, end , middle, change position and remove them
This project focuses on applying artistic styles to images using deep learning techniques. The goal is to transform the visual appearance of an image to match the style of a reference image.
LLM-powered therapy agent with emotion control and persistent memory: 70% session consistency improvement, 52% empathy alignment via feedback-driven tuning.
Multimodal chatbot integrating voice, image, and context memory: 85% task success rate, 30% engagement boost via dynamic activity updates.
Dual-view attention model forecasting AQI and 6 pollutants, R² of 0.93. Reduced cloud training cost by 35% via automated sweeps.