Siddartha reddy Devi reddy's starred repositories
Face-recognition-attendance-system
FACE RECOGNITION ATTENDANCE SYSTEM
Face-Recognition-Attendance-System
Face Recognition Attendance System built during Microsoft Engage 2022.
attendance-system-frontend
Front-end based on react for face recognition based attendance system
smart-attendance-system
Smart Attendance Management System is an application developed for daily attendance of student/ staff in colleges or schools or any other organizations using face detection and face recognition.
Attendance-Portal
We have developed a cutting-edge attendance recorder. Using face recognition, you can easily record attendance and have access to in-depth analysis and a wide range of functionalities. Because of the covid-19 pandemic, stringent guidelines have been established, and precautions must be made to minimise unnecessary physical encounters. As a result, our method has shown to be effective in eliminating the requirement for any type of physical interaction while collecting and analysing attendance.
Face_Verification_based_Attendance_system
Face Verification based Attendance system, developed using Django, OpenCV and face_recognition API.
Automated-Attendance-System-By-Real-Time-Face-Reccognition
An Automated Attendance system using Real-time face recognition, The GUI automates the manual process of attendance marking and maintaining statistics
Face-recognition-project
Automate attendance record. React & Python
microsoft_face-recognition
SMART ATTENDANCE SYSTEM USING FACE RECOGNITION
Face_recognition_based_attendance_system
A python GUI integrated attendance system using face recognition to take attendance.
AI_Story_Generator
Generate stories of different genres from image or text
Story-Generator
This project is a story generator that uses the markovify library to generate text based on a provided file.
image2story
A project for telling stories according to images in some particular style
neural-storyteller
A recurrent neural network for generating little stories about images
image-to-story
convert an image into a meaningful story.
image2audiostory
This is a Streamlit app that takes an image as input, generates a caption for the image, and then generates a story based on the caption. The story is then converted to an audio file using the Hugging Face API as well as open source large language models.
Story-Telling-Using-Image-Captioning
Storytelling image captioning is a task in which a model is trained to generate a textual description of an image that tells a story about the content of the image. This approach to image captioning involves not just describing the objects and actions present in the image but also weaving those descriptions into a cohesive narrative.
Muti-modal-Creative-Story-Generation-from-Images-using-captioning
The stories are generated using a two part framework as de- scriptive image captioning using smaller NLP models and then using a large language model for generating creative stories using those. The aim of the work is to generate stories which are coherent with the images and can incorporate the theme and context presented
Story-Telling
The project focusses on neural network to generate stories from input Images. The stories can be in different genres based on the story dataset provided to the model. However, to get labels/captions from the images- Microsoft Azure vision API was used
Story-Teller
Story Teller is a project that generates short stories from images using image captioning and language generation techniques. It utilizes machine learning models from the Hugging Face Transformers library and LangChain API to process images, generate captions, and produce stories based on those captions. Additionally, it employs a text-to-speech mo
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
SleeperCell
It is a sleep tracking web application which visualizes sleep data on a bar graph, gets daily sleep score and weekly average sleep.
Multistep-Registration
This is multistep registration build with mern
React-native
This is folder of react native practice