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

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.

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.

This project involves predicting the diamond price by using Multiple Regression ML Algorithmns

End-to-End ETL Pipeline for Film Data Crawling from Ohitv

End-To-End project that predicts water quality as a percentage

This is an End to End Machine Learning Project

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.

End-to-End NLP Chatbot for Food Services

This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.

Actors Image Classification Machine Learning Model using Sklearn Libraries with Aws EC2 model deployment

web-based application that predicts the profits of startups by utilizing machine learning models trained on historical startup data

This tool utilizes Python, Flask, and Linear Regression to predict house prices based on housing data from Kaggle. Whether you're a real estate enthusiast or just curious about predicting house prices, it provides an intuitive interface to explore and predict potential prices.

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.