Rohit Ingole's repositories
Stockastic
Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.
Cars-Data-API
Cars-Data-API: A comprehensive API built on Django and Django Rest Framework, featuring dummy data for Cars, Car Categories, and Car Parts. This project facilitates seamless integration with SwaggerUI for efficient testing.
Data-Structures-and-Algorithms
Welcome to the Data Structures and Algorithms repository! This repository is a collection of Python implementations for various data structures and algorithms. I created this repository by following the YouTube playlist of Love Babbar Code Help channel, which has been a valuable resource for learning and understanding these fundamental concepts.
Machineknight-Hackathon
This repo contains files for a house price prediction project built for MachineKnight Hackathon that was hosted on unstop.
Walk-or-Run-Image-Classification
This is Deep Learning project made using InveptionV3 model and Images taken from Kaggle to predict if the person in Image is Walking or Running.
AI-Flappy-Bird-Game
This is a reinforcement learning based project where multiple agents are created and trained to learn the play the flappy bird game.
AI-Mario-Game
This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.
AI-Snake-Game
This is a Deep-Q Learning based AI Snake Game where the Model Incrementally Learns and Improves to Play the Game.
BentoML-Learning
GitHub repo showcasing a SVM-based Iris flower species classifier. Leveraging BentoML for model deployment and Swagger API integration. Trained on the Iris dataset with 150 instances from 3 species. Ready for collaborative contributions.
Date-Fruit-Classification
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
Deep-Audio-Classification
This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bird calls in the the audio.
Django-Ecommerce-Database-Design
This Django-based E-commerce project is designed to offer a robust and scalable solution for online retail businesses. Leveraging Django's powerful framework, along with PostgreSQL database management system and Docker for containerization, this project provides a comprehensive platform for managing various aspects of an online store.
Django-GraphQL
This GitHub project is a Django-GraphQL application using the Graphene package, enabling efficient CRUD operations with CORS and Djagno-GraphQL-Auth for JWT Authentication.
Django-RealEstate
This is a comprehensive Django that takes you from a beginner to an advanced level. You can follow the commits in this repository sequentially to see all the changes made step by step to achieve the full functionality of the app.
Django-Rest-Framework-Course
My Django Rest Framework learning project encompassed generic API view classes, permissions, authentication methods including token-based and JWT, CORS handling, task scheduling, etc., providing a comprehensive understanding of RESTful API development.
Farming-ChatBot
An interactive Farming ChatBot powered by advanced natural language processing, offering tailored assistance for agriculture-related queries and tasks. Seamlessly integrating with Streamlit and leveraging Hugging Face Chat API for a user-friendly experience.
Garbage-Image-Classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
IMDB-Reviews-Sentiment-Analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
Learning-FastAPI
This repository contains the code for learning basics of FastAPI with Docker containers and images. The repository uses alembic and sqlalchemy to make migrations and migrate change to the database.
Learning-Modular-Mojo
Explore the world of Modular Mojo, a dynamic and expressive programming language designed for simplicity and modularity. This GitHub repository contains a comprehensive Jupyter notebook that serves as your gateway into the fundamentals of Modular Mojo programming.
Learning-PyTorch
Explore my journey of learning PyTorch through a series of hands-on projects! This GitHub repository showcases my progress in mastering PyTorch fundamentals, including linear regression, multi-class classification, non-linear activation functions, CNN for Fashion MNIST, transfer learning, and model deployment.
Mall-Customer-Segmentation-Clustering
This is a Machine Learning based Customer Segmentation project. Data taken from Kaggle. Data Analysis using Interactive Plotly Plots.
MySQL-Learning
This repository is a hands-on learning resource for MySQL enthusiasts, designed to enhance your understanding of fundamental database concepts. The commands folder contains essential .sql files that can be easily accessed using either VSCode or MySQL Community Workbench.
Parking-Place-Detector
This is Python based Computer Vision project which Show's the available parking places in parking lot.
Quill-Document-Chat
Quill is a cutting-edge fullstack SaaS platform built from scratch using Next.js 13.5, tRPC, TypeScript, Prisma, and Tailwind. It features a beautiful landing and pricing page, real-time streaming API responses, and robust authentication via Kinde. With modern UI components, optimistic updates, and seamless data fetching.
Simple-Django-Billing-Backend
This repository serves as a basic starter template for building a point-of-sale billing application for employees or cashiers using Django. It includes essential features and structure to kickstart your project development.
Vendor-Management-System
A comprehensive Django and Django Rest Framework-based Vendor Management System, featuring secure user authentication, detailed vendor and purchase order management, and robust performance tracking with Celery Beat. Easily configurable via environment variables for streamlined deployment.