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.

Content Based - Movie recommender system. End-to-End project, deployed on Heroku

This is an End to End Machine Learning Project

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

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)

A ML Web App which predicts Miles Per Gallon(MPG) efficiency of a vehicle when provided 7 inputs like Weight, Displacement etc.

Carsify is an end to end Machine learning deployed site, which uses certain features to predict the price of the car.

GradeGuru is ML-powered grade predictor to forecast student exam performance. Input student information and get accurate grade predictions for proactive academic planning. Enhance student success and academic outcomes with GradeGuru.

Analyzed a multicategory e-commerce store using big data techniques on a Kaggle dataset with the help of AWS EC2, AWS S3, PySpark, AWS Glue ETL, AWS Athena, AWS CloudFormation, AWS Lambda and Power BI!

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

Containerized Web App using Docker, FastApi and Huggingface. Uses GPT2 for Text Completion.

Building House Price Prediction Model using Machine Learning

This project involves Binary Classification problem on the sklearn breast_cancer dataset by implementation of various ML Classification Algorithms

Text Sumamrization App using HuggingFace

Cat-Dog Classifier

Chest Cancer Classification using Chest CT Scan. Using Vgg16 Model.

The KKP Blood Screening Project is a web application designed for blood analysis using YOLOv5 object detection model deployed with Flask. This application allows users to upload an image and receive a labeled result indicating various blood cell types. The model is trained to detect 11 classes of blood cells