Dhruv's starred repositories
aws-customer-churn-pipeline
An End to End Customer Churn Prediction solution using AWS services.
Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Scrapegraph-ai
Python scraper based on AI
agent_reasoning_benchmark
🔧 Compare how Agent systems perform on several benchmarks. 📊🚀
first-contributions
🚀✨ Help beginners to contribute to open source projects
LargeLanguageModelsProjects
Large Language Model Projects
langchain-chat-gui
Langchain chat with memory and a GUI made in Streamlit
FreeAskInternet
FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.
Iris_classification-AWS-Lambda-PoC
A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.
Resume-Parser-Shortlisting-Project
This is an end to end machine learning project served on Flask for parsing and ranking candidates based on similarity scores between resumes and job description.
Job-Resume-Matching
The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.
soccer-video-analytics
Demo on how to compute soccer ball possession automatically using AI.
Resume-Scoring-using-NLP
The objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various required skills (example : Machine Learning, Data Science, Software developer, Programming) are given as input, Sketch Engine creates a corpus from the useful data available on the given links. Word Embeddings are created from the corpus and these are used to match the skills in the candidate resume with the required skills. Finally, the candidate profile is built and plotted as a bar graph for better visualization.
MicrosoftML-ProjectShowcasing
A repository to keep all open sources projects that created by individuals or study groups of Microsoft ML Scholarship