Aditi's repositories
get-flutter-fire
Boilerplate for Flutter with GetX and Firebase
Green-Goblin
Green Goblin is a desktop application designed to help you track and manage the time spent on daily activities.
Animated_hint_searchbar
This repository contains the code for a flutter package hosted on pub, animated_hint_searchbar.
PhishGuardian
PhishGuardian is a cybersecurity tool that utilizes advanced NLP and AI concepts to combat phishing attack.
Flask-api-for-gemini-chatbot
This Flask API integrates the Gemini 1.5 flash model for chatbot assistance.
init0_KSP_round3
This repository contains the final submission code for KSP DATATHON '24.
UrbanQuest
An app to discover local businesses
CODEICON-23
This repository contains the source code for the CV (Computer Vision) problem statements tackled during the CodeIcon 2023 Hackathon held at KJSCE.
NewsRakshak
360-degree feedback software for the Government of India related News Stories in Regional Media using Artificial Intelligence / Machine Learning. This was one of the PS for SIH-2023.
SecureChat
This repository hosts a chat application developed in Java, leveraging the power of socket programming, Swing graphical user interface (GUI), and JDBC concepts.
qalaAI
Unlock Your Creativity with Cutting-Edge Generative AI: Create and Download AI-Generated Images on Our Innovative Website
Friend_Next_Door
An AI-powered mental health platform, which connects users with empathetic 3D avatars to discuss concerns in a safe, private space.
Identifying-relation-between-AQI-and-weather-conditions.
This study aims to explore the potential relationship between weather conditions and air quality index (AQI) using machine learning techniques. By analyzing various features of AQI, we aim to develop a predictive model for weather conditions based on the AQI.
Rainfall-Prediction
This project utilizes a weather dataset to predict rainfall using machine learning algorithms. By analyzing the weather features such as temperature, humidity, wind speed, and pressure, the project aims to develop accurate models for rainfall prediction.
water-portability
This project analyzes a dataset to classify water samples as portable or unportable using various machine learning algorithms and provides a comparative analysis of their accuracies.
Datahack_1.0
Market basket analysis project leveraging AIML technology. Built at Datahack 1.0 Hackathon
ECSAttendance
Attendance App for ECS Academy