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The Text Summarization for conversation is a sophisticated tool designed to extract key insights from chat conversations quickly and efficiently. With the aim of enabling users to grasp the main idea of a conversation without reading through the entire transcript, this project leverages cutting-edge natural language processing (NLP) techniques.
This project was all about building a informational dashboard for atliq electronics to improve their business. By doing this we can find more informations from those dashboard like finance, sales, marketing, supply chain management sector. The company wants to build a dashboard in all those areas from 2018(past) to 2022(present) with the dataset. The dataset contains above 1 million rows. These dashboard are done in power BI desktop.
This Streamlit app serves as a simple tool for predicting the likelihood of heart disease based on input features. The user can input key factors such as age, sex, chest pain type, blood pressure, cholesterol level, and more. The app provides an intuitive interface with sliders and dropdowns for data input. Behind the scenes, the app employs a basic prediction model to calculate a prediction based on the input values. While the current model is simplistic, the framework allows seamless integration with more advanced machine learning models for accurate predictions.
I recently took on a web scraping project using Selenium 4 to extract data from how stat. With advanced features, I automated the process of collecting data.This saved me time and effort while providing valuable insights into the platform's content.
In this project, the performance of the students in math score is determined with the help of other features. Here, we utilize CI/CD pipelines for deploying the app in Docker.
This project utilizes Docker Compose to manage a multi-container application. The application consists of multiple containers, including a Flask app and a MongoDB database. Docker Compose allows you to define and manage the services required for your application in a single YAML file, simplifying the setup and deployment process.
Hi I am Subhaganesh I am interested towards AI technology .so I started my journey by transition from mechanical to IT through the help of guvi IIT Madras.
I have Good knowledge in data literacy ,data strategy and web scraping.
Currently undertaking the "TensorFlow Developer Certificate: From Zero to Mastery," I wield a skill set spanning Power BI, Docker, SQL, and Python. Proficient in Pandas and Matplotlib, I navigate web scraping using Beautiful Soup. Engaged in projects on computer vision and deep learning, I am simultaneously sharpening my data structures and algorithms skills. This journey is not just about learning; it's a dynamic narrative of growth and expertise in the realms of TensorFlow, machine learning, and AI. To implement my innovative ideas and creative mind towards the goal and growth of the organization and self through the data insights.
Projects
hackathons
certifications
Awards
I have a decent knowledge on the below mentioned skills.Which can be used in data analysis ,data modeling, model creation.
To implement my innovative ideas and creative mind towards the goal and growth of the organization and self through the data insights.
Having good knowledge in understanding business problem and provide growthfull solution using insights from the data.Well trained in data modeling using sql and power BI for the creation of dashboards for the organization.
GUVI ,IIT-Madras,chennai, IN
KCG college of Technology, chennai, IN
Addison, CH, IN
We worked in some projects during those periods his dedication to the work was way good.
Subhaganesh was very good at Handling day to day tasks and prior to time.
supervising and handling people is not that easy.But this guy does those kind of works with ease and efficient in work.
CH, IN
subhaganesh5@outlook.com
+91 9710414465