KiranKPoojary
Enthusiastic learner with a happy curious mind, constantly seeking to expand knowledge and embrace new experiences.
Udupi ---> Bengaluru
Pinned Repositories
NextGenAI-Text2Video-Generator
This project is a Text to Video Generator that utilizes a Hugging Face model. The backend server is implemented in Google Colab, and the frontend is built using ReactJS. The connection between the Flask backend and the ReactJS frontend is established using ngrok tunneling.
KCET-Engineering-College-Prediction-using-Machine-Learning
This project offers a predictive tool for KCET engineering students seeking insights into their college admissions. Utilizing a Random Forest Classifier with an 87.9% accuracy score, the model analyzes past KCET cut-off data from 2021 and 2022. Foucses on CSE and ISE branches.Frontend is built using Flask.
-LGMVIP-Web-Task-1
This repository contains task 1 of the Letsgrowwmore internship.
-LGMVIP-Web-Task-2
TASK 2 of LetsGrowwmore Internship
DAILYHEADZ-A-NEWS-APP
DAILYHEADZ is a news application that provides users with up-to-date news articles from various countries and categories, including business, science, sports, and more. Users can select their country to receive news relevant to their location.
PG-Finder-Website-For-Students
PG Finder is a website that is developed for the the purpose of helping college students in searching PG(Paying Guest) near their college locations.
firstrepo
first trail
KiranKPoojary's Repositories
KiranKPoojary/NextGenAI-Text2Video-Generator
This project is a Text to Video Generator that utilizes a Hugging Face model. The backend server is implemented in Google Colab, and the frontend is built using ReactJS. The connection between the Flask backend and the ReactJS frontend is established using ngrok tunneling.
KiranKPoojary/PG-Finder-Website-For-Students
PG Finder is a website that is developed for the the purpose of helping college students in searching PG(Paying Guest) near their college locations.
KiranKPoojary/KCET-Engineering-College-Prediction-using-Machine-Learning
This project offers a predictive tool for KCET engineering students seeking insights into their college admissions. Utilizing a Random Forest Classifier with an 87.9% accuracy score, the model analyzes past KCET cut-off data from 2021 and 2022. Foucses on CSE and ISE branches.Frontend is built using Flask.
KiranKPoojary/DAILYHEADZ-A-NEWS-APP
DAILYHEADZ is a news application that provides users with up-to-date news articles from various countries and categories, including business, science, sports, and more. Users can select their country to receive news relevant to their location.
KiranKPoojary/-LGMVIP-Web-Task-2
TASK 2 of LetsGrowwmore Internship
KiranKPoojary/-LGMVIP-Web-Task-1
This repository contains task 1 of the Letsgrowwmore internship.