Pinned Repositories
AI-Email-Generator
This project automates the process of generating cold emails tailored to specific job roles by extracting relevant skills and experience from a portfolio and matching them to job descriptions.
Brain-Tumor-Detection-System-SVM
This project aims to detect brain tumors using Convolutional Neural Networks (CNN). The model is trained on a dataset of brain MRI images, consisting of both tumor and non-tumor cases, to predict whether a tumor is present or not with an accuracy of approximately 98%.
Car-Price-Prediction-Regression-Analysis-Model
This project leverages the power of machine learning to predict second-hand car prices based on user-provided details such as Economy, Horse-Power, Years-in-use, Top Speed, etc.
Chat-With-PDF-Using-Gemini-AI
This project is a Streamlit application that allows users to upload PDF documents, extract text from them, and interactively ask questions related to the content of the PDFs.
dhruv-yadav-nitj
Config files for my GitHub profile.
Driver-Drowsiness-Alert-System
This project implements a driver drowsiness detection system using computer vision techniques.
Flick-Finder-Movie-Recommender
This is a content-based movie recommender application that leverages the Streamlit web framework to provide an intuitive and interactive user interface for recommending movies.
Skin-Cancer-Detection-Using-CNN
This project aims for early detection of melanoma, a type of skin cancer, using Convolutional Neural Networks (CNN).
Striver-A2Z-DSA
This repository contains solutions to all the problems from Striver's A2Z DSA Sheet, implemented in Python by me.
Striver-A2Z-DSA-Sheet-CPP
This repository contains solutions for every problem in the Striver's A2Z DSA Sheet. All solutions are written in C++ by me.
dhruv-yadav-nitj's Repositories
dhruv-yadav-nitj/Striver-A2Z-DSA-Sheet-CPP
This repository contains solutions for every problem in the Striver's A2Z DSA Sheet. All solutions are written in C++ by me.
dhruv-yadav-nitj/AI-Email-Generator
This project automates the process of generating cold emails tailored to specific job roles by extracting relevant skills and experience from a portfolio and matching them to job descriptions.
dhruv-yadav-nitj/Chat-With-PDF-Using-Gemini-AI
This project is a Streamlit application that allows users to upload PDF documents, extract text from them, and interactively ask questions related to the content of the PDFs.
dhruv-yadav-nitj/Skin-Cancer-Detection-Using-CNN
This project aims for early detection of melanoma, a type of skin cancer, using Convolutional Neural Networks (CNN).
dhruv-yadav-nitj/Striver-A2Z-DSA
This repository contains solutions to all the problems from Striver's A2Z DSA Sheet, implemented in Python by me.
dhruv-yadav-nitj/Brain-Tumor-Detection-System-SVM
This project aims to detect brain tumors using Convolutional Neural Networks (CNN). The model is trained on a dataset of brain MRI images, consisting of both tumor and non-tumor cases, to predict whether a tumor is present or not with an accuracy of approximately 98%.
dhruv-yadav-nitj/Car-Price-Prediction-Regression-Analysis-Model
This project leverages the power of machine learning to predict second-hand car prices based on user-provided details such as Economy, Horse-Power, Years-in-use, Top Speed, etc.
dhruv-yadav-nitj/dhruv-yadav-nitj
Config files for my GitHub profile.
dhruv-yadav-nitj/Driver-Drowsiness-Alert-System
This project implements a driver drowsiness detection system using computer vision techniques.
dhruv-yadav-nitj/Flick-Finder-Movie-Recommender
This is a content-based movie recommender application that leverages the Streamlit web framework to provide an intuitive and interactive user interface for recommending movies.
dhruv-yadav-nitj/House-Price-Prediction-Regression-Analysis
This project utilizes a neural network implemented using TensorFlow to predict house prices based on a set of features.
dhruv-yadav-nitj/RL-Cliff-Walking-Toy
This project demonstrates the implementation of the Cliff Walking problem using two different reinforcement learning algorithms: SARSA and Q-learning.