AI end-to-end Service that writes a personalized cover letter using gpt4.
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Updated
Apr 10, 2023 - Python
AI end-to-end Service that writes a personalized cover letter using gpt4.
Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality.
This repository contains the full project code for a Predictive Analysis of Productive Employment in Kenya. The repository contains the code for the data science project lifecycle from Business Understanding to Model Building and Evaluation (Colab Notebook) and Model Deployment (Flask, HTML)
Content Based - Movie recommender system. End-to-End project, deployed on Heroku
End-to-End ETL Pipeline for Film Data Crawling from Ohitv
Building House Price Prediction Model using Machine Learning
SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.
🎇 Multi-lingual AI Assistant with gTTS & Gemini Pro 🎆 An end-to-end AI assistant using gTTS for multi-lingual text-to-speech and Gemini Pro API for smart responses. 🌍💬 Experience seamless voice interaction in various languages with continuous updates and improvements! 🚀✨
End-To-End project that predicts water quality as a percentage
End-to-End NLP Chatbot for Food Services
We'll build an HR database in SQL Server, import CSV data, and run queries for analysis. Then, we'll connect to Power BI, create visualizations, and build a dashboard. This end-to-end project will address HR's requests regarding healthy employees, non-smoker compensation, and absenteeism insights, all within the specified budget constraints.
Text Sumamrization App using HuggingFace
This is an End to End Machine Learning Project
Complete end to end machine learning project from data scraping to deployment.
A ML Web App which predicts Miles Per Gallon(MPG) efficiency of a vehicle when provided 7 inputs like Weight, Displacement etc.
The web app is designed for generating multiple-choice questions from text input. Users can either type text directly or upload `.txt` files to create questions. The application also offers options to download the generated questions in PDF or Word format.
DocBuddy is a Flask web app that lets users upload and interact with PDF files by summarizing content, suggesting keywords, and providing a basic Q&A feature, all through an intuitive interface.
AutoDataAnalyzer: Automate data ingestion, analysis, and visualization with AI/ML-powered pipelines. Features natural language query processing, interactive Plotly visualizations, and seamless deployment via Docker.
Carsify is an end to end Machine learning deployed site, which uses certain features to predict the price of the car.
Containerized Web App using Docker, FastApi and Huggingface. Uses GPT2 for Text Completion.
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