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Atharv Nalwade • Peerlist

# 👋 Welcome to my Microservices Project Repository!This repository contains all the individual repositories of the microservices that I developed as part of a larger project. The project focuses on creating a microservice-based architecture using JavaScript with NodeJS as a runtime environment. The microservices include a Flight Search Service, an Auth Service, a Reminder Service, an Air Ticket Booking Service, and an API Gateway.## 🌐 Links to individual repositories:- [Flight and Search Service](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/Flights-And-Search-Service.git">https://github.com/Atharv-Nalwade/Flights-And-Search-Service.git</a>)- [Auth Service](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/Auth_Service.git">https://github.com/Atharv-Nalwade/Auth_Service.git</a>)- [Reminder Service](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/ReminderService.git">https://github.com/Atharv-Nalwade/ReminderService.git</a>)- [Air Ticket Booking Service](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/AirTicketBookingService.git">https://github.com/Atharv-Nalwade/AirTicketBookingService.git</a>)- [API Gateway](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/API_Gateway.git">https://github.com/Atharv-Nalwade/API_Gateway.git</a>)If you find that something is not correct or not well implemented, feel free to reach out to me!

Airline Booking Backend System

# 🚀 StreamCommerce: Effortless E-commerce Powered by StreamsStreamCommerce, where the power of real-time streams fuels seamless online shopping! 🛒💫## Payment Processing 🧾- FastAPI's robustness + Redis's speed = Lightning-fast payments ⚡💳- Hassle-free order management with just a few clicks! 📦🛍️- Refunds? No worries! Our trusty worker 🛠️ ensures they're handled smoothly. 🔄💰## Inventory Control 📦- Keep stock levels in check effortlessly. 📊✅- Real-time inventory updates, thanks to our trusty stream worker! 🌊✨- Add, view, or remove products with ease. ✨🗄️## User-Friendly React App 🌐- Explore our user-friendly React app to browse and order products! 📱🌟- Place orders, track them, and enjoy the simplicity! 🛒🔍- Create new products effortlessly, with a sleek and intuitive design! 🆕🖼️## Technical Details:### Payment Folder- <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://main.py">main.py</a> (FastAPI Web Server): - Handles order creation and retrieval via web-based interfaces. - Utilizes FastAPI and connects to Redis for order storage. - Provides endpoints for order viewing and creation.- <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://consumer.py">consumer.py</a> (Order Consumer): - Background worker for processing returns and refunds. - Monitors Redis for refund requests and updates order statuses.### Inventory Folder- <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://consumer.py">consumer.py</a> (Inventory Consumer): - Manages product inventory and processes completed orders. - Utilizes Redis for inventory updates and refund handling.- <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://main.py">main.py</a> (FastAPI Web Server for Inventory): - Acts as an inventory management system using FastAPI. - Connects to Redis for storing and retrieving product information. - Provides endpoints for product management.### React Application- App.js - Sets up routing using React Router for various application sections.- Orders.js - Displays an order placement form and fetches real-time product prices.- Products.js - Lists products and offers deletion functionality.- ProductsCreate.js - Provides a form for creating new products.- Wrapper.js - Ensures consistent styling and layout throughout the app.### Bat File- A bat file named `run_all.bat` is present for running all required servers for both frontend and backend . Will run all cmds required to start using the project.Present for feasibility### Environment ConfigurationTo run the StreamCommerce project successfully, you need to configure the following environment variables in your project's environment. These variables ensure the correct setup and functionality of the application.- HOST: `&lt;YOUR_REDIS_HOST&gt;` - This variable specifies the host address of the Redis database used for payment and inventory management.- PORT: `15659` - The `PORT` variable specifies the port number for connecting to the Redis database. It's essential for establishing a connection to the Redis server.- PASSWORD: `&lt;YOUR_PWD&gt;` - The `PASSWORD` variable should be set to the authentication password required to access the Redis database securely.Please ensure that these environment variables are correctly set in your environment configuration (e.g., in a `.env` file) to enable the smooth operation of the StreamCommerce project. These values are vital for connecting to the Redis database and ensuring the proper functionality of the payment and inventory management components.#### Future Work :- Validations are to be added- Main aim of project was to work with fastapi in a microservice based arch along with streams.Join the StreamCommerce revolution today and experience e-commerce in the fast lane! 🚀🛍️

StreamCommerce

## YouTube Shorts Scrolling Automation ScriptWelcome to the YouTube Shorts Scrolling Automation Script repository! This Python script is designed to automate the process of scrolling down through YouTube Shorts, making it easier for you to explore and enjoy a seamless viewing experience.### Features- 🚀 Automatically opens a Firefox browser.- 🎥 Navigates to the YouTube Shorts tab.- ⏭️ Scrolls down to view the next Shorts after a fixed interval.- ⏸️ Pauses scrolling when you manually interact with the page.### Why Use This Script?- Save Time: No need to manually click through each Shorts. The script does it for you.- Effortless Viewing: Sit back and enjoy a continuous stream of Shorts without interruptions.- Customizable: You can adjust the scrolling interval as per your preference.### Prerequisites- Python 3.x- Firefox browser- Selenium library (`pip install selenium`)### How to Use1. Clone this repository to your local machine. ```bash git clone <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade/LazyMans_Scroller.git">https://github.com/Atharv-Nalwade/LazyMans_Scroller.git</a> ```2. Navigate to the project directory. ```bash cd LazyMans_Scroller ```3. Install the required dependencies if you haven't already. ```bash pip install -r requirements.txt ```4. Run the script. ```bash python <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://main.py">main.py</a> ```5. Sit back and relax as the script automates scrolling through YouTube Shorts for you.### CustomizationYou can customize the behavior of the script by modifying the following variables in the `youtube_shorts_scroll.py` file:- `SCROLL_INTERVAL`: Adjust the time (in seconds) between each scroll.- `PAUSE_ON_INTERACTION`: Set to `True` if you want the script to pause scrolling when you manually interact with the page.### DisclaimerThis script is intended for educational and personal use only. Usage of this script to violate YouTube's terms of service or to engage in any form of unauthorized activity is discouraged.### ContributionFound a bug? Have a suggestion? Contributions are welcome! Feel free to fork this repository, make changes, and submit a pull request.### LicenseThis project is licensed under the [MIT License](LICENSE).---Happy automated scrolling! If you find this script useful, don't forget to star the repository. If you encounter any issues or have suggestions, please create an issue or reach out to us.Disclaimer: This script is not affiliated with or endorsed by YouTube.Made with ❤️ by [Atharv Nalwade](<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Atharv-Nalwade)*">https://github.com/Atharv-Nalwade)</a>

LazyMan’sScroller

# Video Streaming Service with CloudFront, S3, and EJSWelcome to the Video Streaming Service, a web application built using CloudFront, S3, and React. This project provides a simple and effective way to Just stream videos, utilizing the power of Amazon Web Services (AWS) to deliver a seamless and scalable video streaming experience.## Features- CloudFront CDN: The application leverages CloudFront as a Content Delivery Network (CDN), ensuring low-latency and high-speed delivery of video content to users across the globe.- S3 Storage: Videos are securely stored in Amazon S3, a highly durable and scalable object storage service. S3 provides the backbone for reliable video storage and retrieval.- EJS Frontend: The application uses the EJS templating engine for rendering dynamic content on the server side, providing a responsive and customizable user interface.- Video Playback: Users can enjoy seamless video playback directly in the browser. The built-in HTML5 video player supports common video formats, providing a user-friendly and familiar interface.## Getting StartedTo run the application locally, follow these steps:1. Clone the repository to your local machine.2. Install the project dependencies.3. Set up your environment variables. Create a `.env` file in the root directory and provide the necessary configuration, including ```DISTRIBUTION_LINK='CLOUDFRONT-DISTRIBUTION-KEY'CLOUDFRONT_KEYPAIR_ID='CLOUDFRONT-KEYPAIRID'CLOUDFRONT_PRIVATE_KEY='-----BEGIN PRIVATE KEY----- PRIVATE-KEY-GOES-HERE -----END PRIVATE KEY-----'```4. Run the server using```node server.js```## Future Scope- Video Transcoding: Implement video transcoding services to support multiple video formats and resolutions.## NoteThis project is designed for those looking to dive into the world of CloudFront and S3 without the complexity of rocket science — a straightforward, hands-on experience for getting familiar with these AWS services. 🚀

Streamify

# 🎶 Improved Image, Video, and 3D Object Sonification 🖼️🎬🔊This Python script, integrated with the Streamlit framework, provides an interactive web application to transform visual data from images, videos, and 3D object files into mesmerizing audible soundscapes. The process, known as sonification, entails converting visual data into meaningful audio representations, providing a unique and immersive auditory experience. 🌐🔊## PrerequisitesBefore executing the script, ensure the presence of the following Python libraries:- `streamlit`- `numpy`- `librosa`- `PIL` (Pillow)- `matplotlib`- `scipy`- `opencv-python`- `soundfile`- `pydub`- `pywavefront`Install these dependencies using the command:```bashpip install streamlit numpy librosa pillow matplotlib scipy opencv-python soundfile pydub pywavefront```## How to Run1. Clone the repository2. Change into the project directory:3. Install the dependencies and Run the script: ```bash streamlit run <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://app.py">app.py</a> ```4. Open the provided URL in your web browser to engage with the application.## Usage1. Audio Time Slider: - Adjust the duration of the generated audio using the dedicated slider.2. Spectrogram Parameters: - Fine-tune the parameters (`n_fft`, `hop_length`, `n_iter`) to control the spectrogram generation process.3. Preprocessing Options: - Enable or disable preprocessing techniques (`Apply Contrast Stretching`, `Apply Histogram Equalization`, `Improve Griffin-Lim Reconstruction`) to tailor the transformation of input data.4. File Uploader: - Upload images (JPEG, PNG), videos (MP4), or 3D object files (OBJ).5. Frame Skip Slider: - If uploading a video, adjust the slider to skip frames during processing.6. Generate Audio Button: - For images, click this button to convert the image to audio and visualize the waveform. - For videos, the audio is generated from individual video frames, and the resulting audio file can be downloaded. - For 3D objects, the script processes the object and plays the resulting audio.7. Download Audio: - After audio generation, a button appears to download the audio file.8. Play Audio: - Click the play button next to the 3D object sonification result to listen to the audio.## Methodology and ParametersThe script employs various methods and parameters to enhance the sonification process:- Contrast Stretching: - Applied through the checkbox `Apply Contrast Stretching`. - Enhances the dynamic range of pixel values in the image, ensuring a more perceptually appealing audio representation.- Histogram Equalization: - Enabled by selecting `Apply Histogram Equalization`. - Improves the visibility of details in an image by redistributing pixel values across a broader range.- Griffin-Lim Reconstruction: - Controlled by the checkbox `Improve Griffin-Lim Reconstruction`. - Utilizes the Griffin-Lim algorithm for audio reconstruction, enhancing the fidelity of the generated audio from the spectrogram.- Gaussian Smoothing: - Implemented through the `smooth_audio` function. - Applies Gaussian smoothing to the audio, resulting in a more polished and aesthetically pleasing auditory experience.- Waveform Generation: - Utilizes the `generate_waveform` function to plot and display the audio waveform. - Offers a visual representation of the amplitude variations over time in the generated audio.These techniques, coupled with adjustable parameters such as spectrogram size, frame skip, and preprocessing options, empower users to tailor the sonification process to their specific preferences and achieve diverse and captivating audio outcomes. 🎨🔊Feel free to explore the potential of this application to transform visual stimuli into a rich and immersive auditory experience. 🚀🔊### Note:- - This project was part of a 48hr non-stop hackathon so judge us accordingly 😅- All of the project implementation details are not added in the Readme here will add as early as possible

Sonifier

This project is a simple URL shortener service built using Node.js, Express, and MongoDB. The purpose of the application is to take long URLs and provide a shortened version that redirects to the original URL. Additionally, the system offers statistical insights into the usage of the shortened URLs.

Shortify

Python is a snake

Building things worth building

&nbsp;🚀 Introducing MailSensei: Your Cutting-Edge Email Management Companion 📧✂️Tired of sifting through endless emails, only to discover they're not worth your time? Ever missed important messages due to email overload? In today's digital age, our inboxes are overflowing with both vital and distracting content. You might spend precious time on lengthy, irrelevant emails. MailSensei is here to revolutionize your email experience by addressing these challenges.Checkout our Video Demonstration here:- <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://youtu.be/9AF3yPawvDQ">https://youtu.be/9AF3yPawvDQ</a>Need for a solution :<a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://media.giphy.com/media/OothRHNJSCaTS/giphy.gif">https://media.giphy.com/media/OothRHNJSCaTS/giphy.gif</a>CEOs and business professionals often receive hundreds of emails daily, making efficient email management essential. MailSensei offers a solution to navigate this email overload, ensuring that crucial messages are never missed and time is spent more productively.How to Run the Project :-<ol><li>To access the project, visit the following URL: <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://replit.com/@DevenNandapurka/Peerlist-Hackathon">https://replit.com/@DevenNandapurka/Peerlist-Hackathon</a>.</li><li>In the Replit workspace, click the Run button.</li><li>Before using MailSensei, you need to set up an App Password. We've attached an article to guide you through this process: <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://support.google.com/mail/answer/185833?hl=en">Generate your App Password</a>.</li><li>Once the project is up and running, enter your credentials, and click the Set Credentials button.</li><li>Click the Fetch Emails button, and all of your unread emails will be fetched and displayed in a concise summary format.</li></ol>Running locally: Requirements: 1) Python 3.7+ 2) cuda (optional for GPU support) 3) Minimum 4gb of RAM is required to run the models<ol><li>Clone the repository: git clone <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/Deven1902/Peerlist-Hackathon">https://github.com/Deven1902/Peerlist-Hackathon</a></li><li>Optionally create a virtual environment: python -m venv venv</li><li>Activate the virtual environment:for Linux: source venv/bin/activatefor Windows : venv\Scripts\activate</li><li>Install requirements using pip: pip install -r requirements.txt</li><li>Run the app: streamlit run app/streamlit_app.py</li></ol>Our Unique Approach :<ol><li>Gmail Credentials Setup: Securely collect your "Gmail Address" and "App Password" via Streamlit to maintain the confidentiality of your email data.</li><li>IMAP Connection: Establish a connection to your Gmail account using IMAP (Internet Message Access Protocol) for seamless email access.</li><li>Email Decoding: Decode your emails to extract essential information, including "From," "Subject," and email content.</li><li>Email Summarization: Utilize Large Language Models (LLMs), specifically "distilbart-cnn-12-6," to generate concise summaries of your emails, saving you valuable time.</li><li>Tag Generation: Intelligently categorize and organize emails using "t5-base-tag-generation." Tags are displayed alongside email details.</li><li>Streamlined Presentation: Display email information in an ordered format, including "From," "Subject," and associated tags for easy reference.</li><li>Dropdown Summaries: Provide a dropdown button for each email, allowing users to access the summary with a single click, enhancing readability.</li><li>Original Email Link: Include a convenient link at the end of each summary that directs users to the original email for further context and action.</li></ol>Future Enhancements:<ol><li>Improved Spam Filtering: We'll enhance the accuracy of our spam detection algorithm for a cleaner inbox.</li><li>Tag Collections &amp; Sharing: Users can create and share tag collections, streamlining collaboration and productivity.</li><li>Custom Tag Generation: Customize your own tag generation models for tailored email organization.</li><li>User Preferences: Fine-tune MailSensei with preferences like summarization length and tag rules for a personalized experience.</li></ol>"Initially, we used OpenAI keys for all our app functions. However, we later changed our approach as some users may not have premium keys, and we wanted to ensure accessibility without additional costs. 😉😊”