PratikhyaManas Behera
PratikhyaManas
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The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.
Lane Detection System using OpenCV and Python
This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)
In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data
This project is about using the Quantization-Aware Training method to train a keras model for Edge Devices
Implementation of Pneumonia Classification using CNN
Repositories
48No description provided.
This repository serves as a centralized framework for developing, deploying, and managing Databricks resources using Databricks Asset Bundles (DABs) . It transitions Databricks development from manual workspace configurations to a robust Infrastructure as Code (IaC) and Software Development Lifecycle (SDLC) approach.
This repository implements a robust Medallion (Bronze/Silver/Gold) Architecture using Databricks as the processing engine and dbt (data build tool) as the transformation framework. It demonstrates how to build a scalable, reliable data lakehouse that moves data from raw ingestion to high-value business insights.
The AgenticAI repository is a collection of production-ready patterns, frameworks, and implementations for building autonomous AI agents. This project moves beyond simple "prompt-response" interactions, focusing on agents that can reason, use external tools, manage long-term memory, and collaborate in multi-agent workflows.
The DBT-Databricks repository contains the data transformation layer for the Databricks Lakehouse. It leverages dbt-core and the dbt-databricks adapter to provide a version-controlled, testable, and documented approach to SQL modeling and data engineering.
The MLOPS-Databricks repository is a comprehensive framework designed to streamline the machine learning lifecycle—from data ingestion and model training to deployment and monitoring—leveraging the power of the Databricks Lakehouse platform.
The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.
Lane Detection System using OpenCV and Python
A complete end-to-end MLOps pipeline for Marvel character data.
Implementation of Pneumonia Classification using CNN
This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)
In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data
Real-Time Data Streaming Pipelines.
This project is about using the Quantization-Aware Training method to train a keras model for Edge Devices
No description provided.
Gist Profile File
Web Scraping
No description provided.
No description provided.
This repo is about implementing Machine Learning in RISC-V Processors
Raspberry Pi Object Detection using MobileNetV3
The Project is about detecting Face Mask using MobileNetv2 and a Caffee Model for detecting a face.
Nuclei Image Segmentation using UNET
This project is about finding the right set of Hyperparameters using different Algorithms.
Implementing Neural Networks on ARM Processors
This project is about forecasting the energy demand using past data.
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
No description provided.
This Project is about sending the temperature and pressure data from Raspberry-Pi to AWS-IoT and converting the temp. data from Celsius to Fahrenheit using AWS-Lambda function and storing the data in AWS-DynamoDB
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms.