ShubhamSongire/YouTubeVideoToVideoSummarizer-QA

Intelligent Video Knowledge Extraction: YouTubeVideoToVideoSummarizer is a powerful tool that transforms YouTube videos into queryable knowledge bases using advanced Retrieval Augmented Generation (RAG) technology.

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ShubhamSongire/todo

sample application to run end to end execution using docker, github, aws and few other services.

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ShubhamSongire/langflow_hackathon

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ShubhamSongire/vectordb

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ShubhamSongire/Traffic-Monitoring-And-Analysis

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ShubhamSongire/ShubhamSongire.github.io

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ShubhamSongire/ShubhamSongire

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ShubhamSongire/Graph-Summary-Generator

The system effectively classifies different types of graphs using a CNN model, and writes short summary about graph in a clear and concise paragraph-like format.

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ShubhamSongire/COVID-19-Chest-x-ray-challenge

The following is the premise for this challenge: Available COVID-19 chest x-ray data from a given facility is limited. This is like the mini-dataset. Unseen images may come from various sources that may need appropriate preprocessing. Besides the larger dataset provided, participants are welcome to use external sources to supplement the available data.

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ShubhamSongire/Identify_unreliable_news_articles_using_NLP

This project uses NLP and machine learning to identify fake news from a dataset on a Kaggle competition, providing a robust approach to classify and stop the spread of false information.

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ShubhamSongire/Contact-Tracing-with-Machine-Learning

Contact tracing is the process of identifying and tracking individuals who have come into contact with an infected person. This method is used by governments to help curb the spread of infectious diseases, such as COVID-19.

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ShubhamSongire/Sky-Fleet-Classifier-using-CNN-Imagenet-models

I have classified drone images dataset using some imagenet models. I got better accuracy from ResNet152V2 model.

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ShubhamSongire/Mask-RCNN-TF2 Fork of ahmedfgad/Mask-RCNN-TF2

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

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ShubhamSongire/yolov7 Fork of WongKinYiu/yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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ShubhamSongire/julius_caesar_play_analysis

In this project deep analysis about the characters in play is performed using NLP functions and plots regarding behavior of character is plotted which tells about overall role of the character throughout the play.

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ShubhamSongire/Traffic-Signs-Detection-Using-Yolo-V4

Detection of traffic signs using videos or images can be performed from this program. I have used kaggle dataset for traffic signs detection and developed the YoloV4 model which will detect 4 types of traffic signs named speed limit, yield, mandatory, and other.

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ShubhamSongire/Loan_Prediction

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

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ShubhamSongire/One-line-regex-code-challenge

This is online challenge where I have made code which solves multiple requirements of problem in single line using nested loop method. Where I have successfully delivered my solution of challenge.

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ShubhamSongire/Air_Quality_Index_Prediction

This is Machine learning and web scrapping based program for which data is extracted from tutiempo.net website where world wide weather data is avaible. I have applied different Machine learning techniques to predict air quality index from some features of dataset.

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