A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance
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Updated
Oct 24, 2021 - TypeScript
A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance
Creating an AI code translator, converter, or code generator that can translate natural language into programming code is a complex and ambitious project. Such a tool would require a combination of natural language processing (NLP) and code generation techniques.
Complete solution for job recommendation and identifying the true potential of each candidate.SIH problem statement
ML-Powered Research Assistant: A web application that processes PDF research documents, providing individual summaries, a comparative final summary, sentiment analysis, keyword extraction, and a RAG-powered chatbot for querying content. Built with a FastAPI backend and Next.js frontend, it leverages LLaMA and DistilBERT for NLP adv. capabilities.
Веб-сервис для извлечения ключевых слов из введения книг по дискретной математике в формате PDF. Фронтенд: React.js, Webpack, FSD, RTK, TypeScript. Бэкенд: FastAPI, FastAPI Users, SQLAlchemy, Pydantic, Pymorphy3, Spacy. Включает авторизацию, регистрацию и историю запросов. 📚🔍
ML-Powered Research Assistant: A web application that processes PDF research documents, providing individual summaries, a comparative final summary, sentiment analysis, keyword extraction, and a RAG-powered chatbot for querying content. Built with a FastAPI backend and Next.js frontend, it leverages LLaMA and DistilBERT for NLP adv. capabilities.
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