Get ready to explore my projects page and experience the thrill of innovation! While some of the projects may not have practical applications, I guarantee that each and every one of them promises to be a thrilling and exhilarating experience. So fasten your seatbelt and let's dive in!
ChatApp: A secure and real-time chat application developed using Django and React.
Robust Authentication: Implemented token-based authentication for secure user interactions.
Real-time Communication: Users can enjoy instant messaging with real-time updates on new messages.
User-friendly Interface: Intuitive design and smooth user experience for seamless communication.
Technology Stack: Built using Django, React, and Docker for a powerful and scalable application architecture.
Explore the world of poetry clustering using the K-means algorithm.
Uncover hidden themes and emotions within poems through data analysis.
Bridge the gap between art and technology by leveraging algorithms.
Visualize linguistic patterns to gain deeper insights into poetic content.
Enhance interpretation by revealing fresh perspectives on human expression.
Direct Peer-to-Peer Messaging: The desktop app ensures direct, one-on-one messaging for a more personal connection.
User-Friendly Interface: The application boasts a sleek and intuitive user interface made using pyqt5
Flask-Powered Redirection: I have harnessed the power of Flask as a redirection server, providing seamless connections between users.
Project Goal: Implement various deep learning techniques using TensorFlow to solve different tasks such as logistic regression, perceptrons, CNNs, and data augmentation.
Development Process: The project involves step-by-step development and implementation of different models using TensorFlow, including loading and preprocessing data, defining model architectures, compiling and training models, and evaluating their performance.
Story Teller is a Streamlit application that generates a story based on an input image.
It utilizes the Hugging Face Transformers library and the Salesforce BLIP Image Captioning model.
To use the application, you need to upload an image file (supported formats: PNG, JPEG, JPG).
The application will process the uploaded image using the Salesforce BLIP Image Captioning model and generate a textual description of the image.
The generated text will then be passed to the Hugging Face API to generate a story based on the text.
A fake heart rate data stream is generated using Python and Kafka.
The sender module produces fake data that simulates real heart data.
The receiver module receives the data and streams it to a Kafka topic.
Kafka is a data streaming middleware that allows the data to be easily distributed to multiple receivers.
Docker is used to host the sender and receiver modules in any cloud provider.
Voicy is a website that converts texts into speech using Google's text-to-speech API.
It was built using Python and deployed using Streamlit.
Users can convert their PDF files, word files, text files, or normal text input into speech.
It can be useful for converting books and notes into audio to listen to on the fly.
It can also be useful for teachers to make audio out of their notes to help children learn easily.
A Python package was developed to analyze Indian and American stocks.
The package was developed using Python and its libraries for data analysis and visualization.
The package was published on PyPI, the Python Package Index.
The Yahoo Finance API was used to fetch the stock data from Yahoo Finance.
The project aims to create a comprehensive repository for exploring and learning new frameworks and features in various programming languages.
The repository will contain a collection of code snippets and projects, showcasing the individual's proactive approach in understanding and implementing new technologies.
By creating mini projects using different frameworks and features, the project will serve as a valuable resource for gaining practical knowledge and demonstrating proficiency in multiple programming languages.