apparel_tracking_system

bulldozer-price-prediction

The BullDozer-Price-Prediction project is a collaborative notebook that uses machine learning techniques to predict the price of bulldozers. The notebook is built using Python and the popular machine learning library, Scikit-learn, making it a great resource for those interested in machine learning and predictive analytics for construction industry

calculator

This is a basic calculator project written in Python with Tkinter library. It supports addition, subtraction, multiplication, division, and square root. The UI is designed with simple buttons and labels for ease of use. The calculator also has the ability to be controlled through keyboard inputs.

cataract-prediction

This GitHub repo contains a Cataract-Prediction project deployed using Flask web framework. The project involves the development of a machine learning model to predict the presence of cataracts in eye images. The Flask web application allows users to upload eye images and receive a prediction of cataract presence.

conversational-ai-bot-azure

This GitHub repo showcases a conversational AI system for product-related FAQs using Transformers with Azure Services and Flask web framework. The system uses a pre-trained transformer model to generate responses to customer queries and is deployed on Azure cloud platform using Flask. The system can be accessed via a web interface.

conversational_fashion_outfit_generator

Revolutionizing online fashion with AI-driven outfit generator. Our MVP integrates language models and image manipulation for personalized outfit recommendations aligned with real-time trends. Elevate user engagement through virtual try-ons and dynamic conversations, bridging the gap between e-commerce and interactive fashion experiences.

data-visualization-powerbi

The project includes a Power BI dashboard that allows the seller to filter and drill down into the data, compare different products and brands, and see the impact of different pricing and discount strategies on sales and revenue.

dog-breed-prediction

This Dog-Breed-Prediction project is a collaborative notebook that uses deep learning techniques to identify dog breeds from images. The notebook is built using Python and the popular deep learning framework, TensorFlow, making it a great resource for those interested in computer vision and deep learning.

dummy-storage

Dummy storage to store the images and gif for the README.md files of the projects.

ey-hackathon

face-biometry

This GitHub repo showcases a biometric system for face recognition using Python and face recognition libraries deployed on a Flask web framework. The system uses facial recognition algorithms to detect and verify the identity of an individual, and provides a web interface to access the system.

fashion-minst-tf

This GitHub repo contains a collaborative Jupyter notebook showcasing a classification model for the Fashion-MNIST dataset. The notebook includes code snippets and visualizations demonstrating data preparation, model creation, and evaluation. The Fashion-MNIST dataset consists of 70,000 grayscale images of 10 different fashion categories.

food101

This GitHub repo contains a collaborative Jupyter notebook showcasing a classification model for the Food101 dataset. The notebook includes code snippets and visualizations demonstrating data preparation, model creation, and evaluation. The Food101 dataset consists of 101 food categories, with a total of 101,000 images.

guess-the-number

A random number guessing game with hints and a score counter. The game generates a random number between 1 and 10 and prompts the user to guess the number. The user's score is decreased for each incorrect guess, and the game provides hints to help the user guess the correct number.

happiness-upliftment

Problem Statement: Uplifting your Happiness Index infusing Digital Technology Theme : AIML Description: Identify and gather Happiness Index using different sources like human behaviour, life style etc. Detect stress management. Proactively provide recommendation to increase Happiness Index Expectations: Uplifting Happiness

heights-for-ai

This GitHub repository has latest AI research paper implementations in Kaggle notebooks on deep learning, computer vision, NLP, and reinforcement learning. Updated regularly with brief summaries and code snippets, it offers a browsing option by topic, paper title, or author for easy access. Suitable for those looking to deepen their understanding.

helper-functions

This GitHub repo contains a collection of helper functions for data analysis and machine learning tasks implemented in Python. The functions include data preprocessing, feature engineering, model evaluation, and visualization. The functions are designed to simplify and streamline common data analysis and machine learning workflows.

hotel-price-prediction

Designed to predict the price of travel packages based on various features and input data. It utilizes machine learning techniques to make accurate predictions.

intellidecor

IntelliDecor is an AI-powered interior design service that utilizes OpenAI's API and stable diffusion techniques to generate multiple design options for clients looking to furnish their empty rooms. The service features augmented reality integration, voice assistance, user interface enhancements, social media integration.

lora_image_preprocessor

Preprocessor for images intended for Stable Diffusion LoRA (Low-Rank Adaptation) training

multi-disease-prediction

Multi Disease Prediction Model for predicting 50+ different diseases using 9 different ML models along with medical insurance prediction model and achieved more than 90% accuracy on each model.

multi_agent_conversational_chat

A Typeform-inspired Chat Feature with Chat Agents for Engaging Data Collection, Powered by AutoGen and Langchain. Includes REST API Integration for Messaging Systems.

multimodal_qa_system_with_web_agent

nike-web-scraper

Allows users to easily and efficiently scrape data from the Nike website, including product information and prices. The website is user-friendly and provides a convenient way to gather and analyze data from the Nike website.

ping-pong-game

This Ping-Pong-Game project is built using Python and the Tkinter library, allowing two players to play the classic game of Ping Pong. It includes customizable settings for ball speed and paddle size. A fun and engaging project for beginners and experienced developers alike.

prathameshparit

Welcome to my GitHub profile! Here, you'll find a collection of open-source projects related to machine learning, deep learning, artificial intelligence, data science, and Flask web framework. These projects showcase my skills in building practical solutions to real-world problems using cutting-edge technologies. Feel free to explore and contribute

prathameshparit.github.io

Welcome to my personal website! This website showcases my skills and experience in software development, machine learning, data science, and web development. You'll find information about my projects, blog posts, and other activities. Feel free to explore and get in touch if you have any questions or opportunities for collaboration.

qrcode-attendence-system

A QR code-based attendance system that automates the process of marking attendance in Excel by scanning student ID cards. Using the same system it can be used in Library Management System and Mid-Day meals tracking.

snake-game

This Snake Game project, implemented in Python using Tkinter library, lets you control a snake to eat food and grow while avoiding obstacles. You can customize the speed and size of the board, making it a fun and engaging project for beginners and experienced developers alike.

stone-paper-scissors-game

This Python project is a command-line implementation of the classic game "Rock, Paper, Scissors". The program prompts the user to enter their choice and then generates a random choice for the computer. It then determines the winner and prints the result. The program includes error handling for invalid user inputs.