Pinned Repositories
audio-to-image-ai-generator
This project delivers a live speech-to-image system using fine-tuned Whisper ASR for transcription, sentiment analysis for filtering, and Stable Diffusion for image generation. Built with Streamlit, it enables real-time audio-to-visual transformation using advanced AI frameworks like PyTorch and Hugging Face.
Synthetic-Data-Generator
Synthetic Data Generator is a machine learning project that uses the GPT-2 model to generate realistic synthetic product reviews. Built with Python, it leverages libraries like Transformers, Pandas, and PyTorch for data cleaning, processing, and review generation.
Book-Recommendation-System
This is a software based project onto how we deploy machine learning recommender system in a website. Technology used: Flask, Gunicorn, HTML,CSS, JS
Book-Recommender-System
Machine Learning Book Recommendation System: Implemented KNN algorithm to suggest similar books based on user preferences. Technology Stack: Python, Pandas, NumPy, Scikit-learn
Weather-Forecast
Machine Learning Climate Forecasting Project: Developed using Jupyter Notebook, Pandas, and Scikit-learn to graphically represent factors influencing climate change.
Sales-Insights-And-Analysis
Data Analysis Project: Utilized Power BI and MySQL to analyze sales data over four years, providing insights into revenue trends and product performance through graphical representation.
BizCard.kt
This android development project is a user interface that collectively groups all the projects created by the user in order to make a portfolio out of it. I have used Kotlin and Jetpack Compose to create this project.
Bookery
Bookery is a Book Recommendation System which can suggest you 'What to Read next' after you give a name of the recent book you read. It uses Artificial Intelligence to provide you with best recommendations possible, so that you can read and the adventure continues.
Face-Mask-Detector-System
Machine Learning Face Mask Detector: Potential for integration with CCTV for identifying individuals without masks. Technology Stack: Convolutional Neural Networks (CNN), Python, Keras, TensorFlow, and OpenCV.
Speech-to-Image-Live-Conversion-using-Deep-Learning_Infosys_Internship_Oct2024
The objective of this project is to develop a deep learning model that can convert spoken descriptions into corresponding images in real-time.
anishakumari05's Repositories
anishakumari05/Speech-to-Image-Live-Conversion-using-Deep-Learning_Infosys_Internship_Oct2024
The objective of this project is to develop a deep learning model that can convert spoken descriptions into corresponding images in real-time.
anishakumari05/audio-to-image-ai-generator
This project delivers a live speech-to-image system using fine-tuned Whisper ASR for transcription, sentiment analysis for filtering, and Stable Diffusion for image generation. Built with Streamlit, it enables real-time audio-to-visual transformation using advanced AI frameworks like PyTorch and Hugging Face.
anishakumari05/Synthetic-Data-Generator
Synthetic Data Generator is a machine learning project that uses the GPT-2 model to generate realistic synthetic product reviews. Built with Python, it leverages libraries like Transformers, Pandas, and PyTorch for data cleaning, processing, and review generation.
anishakumari05/Bookery
Bookery is a Book Recommendation System which can suggest you 'What to Read next' after you give a name of the recent book you read. It uses Artificial Intelligence to provide you with best recommendations possible, so that you can read and the adventure continues.
anishakumari05/Book-Recommendation-System
This is a software based project onto how we deploy machine learning recommender system in a website. Technology used: Flask, Gunicorn, HTML,CSS, JS
anishakumari05/Face-Mask-Detector-System
Machine Learning Face Mask Detector: Potential for integration with CCTV for identifying individuals without masks. Technology Stack: Convolutional Neural Networks (CNN), Python, Keras, TensorFlow, and OpenCV.
anishakumari05/Sales-Insights-And-Analysis
Data Analysis Project: Utilized Power BI and MySQL to analyze sales data over four years, providing insights into revenue trends and product performance through graphical representation.
anishakumari05/Book-Recommender-System
Machine Learning Book Recommendation System: Implemented KNN algorithm to suggest similar books based on user preferences. Technology Stack: Python, Pandas, NumPy, Scikit-learn
anishakumari05/Weather-Forecast
Machine Learning Climate Forecasting Project: Developed using Jupyter Notebook, Pandas, and Scikit-learn to graphically represent factors influencing climate change.
anishakumari05/BizCard.kt
This android development project is a user interface that collectively groups all the projects created by the user in order to make a portfolio out of it. I have used Kotlin and Jetpack Compose to create this project.