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ats_score

Designed and developed an ATS resume webpage leveraging Langchain and large language models (OpenAI and Llama2) to compare CVs with job descriptions. Achieved a 20% increase in applicant qualification rates by providing a match percentage, identifying missing keywords, and suggesting necessary improvements.

bill-analyzer

Fine-tune Google's PaliGemma, a cutting-edge Large Language Model (LLM), using Hugging Face's platform on a custom dataset. The goal is to leverage its advanced capabilities to convert receipt images into JSON format, meticulously capturing all fields.

bitcoin_price_prediction

breast_cancer_prediction

cp_shorts

cracking_the_coding

Solved questions from cracking the coding interview book by Gayle McDowell

credit_card_fraud_detection

dl-simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

eletronic-vehicle-market-segmentation

fake_social_media_detection

Designed a robust deep learning model to identify the authenticity of social media profiles, achieving 96% accuracy with a sophisticated five-layer model. Utilized machine learning, data analysis, and data visualization techniques, leveraging Python, deep learning, and neural networks.

fine-tunning_llama2

Fine-tunned Llama2 on a custome dataset provided by Salesforce

housepriceprediction

Created a machine learning model in order to predict the sales price of a house based on the 72 given attributes

infix_postfix_visualizer

infix to postfix generator which also displays the inner working.

llm

mcdonald-s-case-study

Conducted a comprehensive analysis of user data for McDonald's case study project using Python and unsupervised learning techniques. Developed a robust market segmentation model by implementing K-Means Clustering and PCA algorithms, and visualized the results for actionable insights.

ml-capsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

ml-question

movie_recommendation_system

Developed a movie recommendation system utilizing machine learning techniques, including natural language processing and cosine similarity algorithms to enhance user experience. Built a web app using Python, Streamlit, and Sklearn to deploy the system. Achieved a 50% increase in movie discovery, significantly enhancing user satisfaction.

multiple_pdfs_chatbot

Developed a RAG application using Gemini to answer questions related to any PDFs you provide. This can take multiple PDFs as inputs and provide answers to your questions. PDFs can contain images and tables. Various preprocessing techniques is applied to deal with them and provide you with the specific answers..

n_queens_visualizer

A visualiser tool to solve the famous Backtracking problem of N-Queens. The problem requires n non-attacking queens to be placed on a n x n chessboard for which solutions exist for all natural numbers other than n=2 and n=3.The algorithm implements the backtracking approach.

open-source-practice

GSSoC is a 3-month long #OpenSource program by GirlScript Foundation, India.

password-generator

It can generate Strong and Random Passwords

project-euler

Solving Questions of Project Euler

sms_spam_detection

Designed and developed an NLP system for SMS spam/ham prediction, leveraging machine learning algorithms such as multinomial naive Bayes, logistic regression, and SVM. Applied advanced data cleaning techniques, including PorterStemmer, CountVectorizer, and TFIDF Vectorizer, and integrated Word Embeddings to achieve a 97.84% accuracy rate.

sparse-matrix

Operations of sparse matrix (Multiplication is still incomplete)

stackoverflow-analysis

Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in future.

thereforyou