Projects

Recipe Recommendation App
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Tailored recipe recommendations at your fingertips. Simply input your available ingredients, kitchen appliances, and dietary preferences, and let our app do the magic! 🍳🧑‍🍳

AI Assignment Solver
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A Streamlit app that uses gemini model api to solve the assignment questions. The app uses the gemini model to solve the assignment questions and provide the answers to the user. It supports word docx, python, excel, and csv file types for input.

EDA Feature Importance

The aim of this project is to analysis the crime reportings from 2018 to April 2024 in the city of Calgary and predict the crime count using neural network.

Calgary Crime Data Analysis and Neural Network Prediction

The aim of this project is to analysis the crime reportings from 2018 to April 2024 in the city of Calgary and predict the crime count using neural network.

ToDo List App

The To-Do List App is a simple and intuitive application that allows users to organize their tasks efficiently. With this app, users can add, delete and check mark the tasks. The app features a clean, user-friendly interface that makes task management easy and stress-free.

Weather App

The aim of this project is to create a weather app that provides real-time weather information for any city in the world. The app uses the OpenWeatherMap API to fetch weather data and display it in a user-friendly format.

Osteoporosis Risk Prediction

The aim of this project is to predict the risk of osteoporosis in patients using a dataset of patients' medical records. Osteoporosis is a condition that weakens bones, making them fragile and more likely to break. It develops slowly over several years and is often only diagnosed when a minor fall or sudden impact causes a bone fracture. The condition is more common in older people, particularly.

Crop Yield Prediction

The aim of this data science project is to predict crop yield using the dataset provided from Crop Yield Prediction. The dataset includes various environmental and agricultural factors such as rainfall, temperature, fertilizer usage, and macronutrient levels, along with the corresponding crop yield in Quintals per acre.

Indian Used Car Price Prediction

The aim of this data science project is to predict the price of used cars in major Indian metro cities. The project utilizes data analysis and machine learning techniques to provide insights and price predictions, ultimately helping both buyers and sellers in the used car market.

SFR Analysis

The objective of this project is to analyze the SFR (SpaceFund Realty) of the aerospace companies and their missions in order to help the investors to make better decisions.

Telecom Customer Churn Prediction

The aim of this project is to analyze customer demographics, services, tenure, and other variables to predict whether a particular customer will churn or not.

Hotel Reservation Cancellation Prediction

The goal of the Hotel Reservations Cancellation Prediction project is to anticipate potential reservation cancellations by analyzing various features and variables associated with hotel bookings.

E-Commerce Product Delivery Prediction

The aim of this project is to predict whether products from an international e-commerce company will reach customers on time or experience delays.

Warranty Claims Fraud Detection

The aim of this project is to predict the authenticity of warranty claims by analyzing various factors such as region, product category, claim value, and more.

Belarus Car Price Prediction

The Belarus Car Price Prediction project aims to forecast the prices of cars in Belarus by leveraging a dataset containing essential car features.

Cardiovascular Disease Prediction

The Cardiovascular Disease Prediction project aims to predict the occurrence of cardiovascular disease in patients based on their medical records and history.

Medical Cost Prediction

This data science project aims to predict individual medical costs using a dataset containing various attributes related to health insurance.

Loan Approval Prediction

The Loan Approval Prediction project aims to predict whether a loan application will be approved by a bank. This prediction is made by analyzing various factors and information provided by the applicant.

Delhi House Price Prediction

The Delhi House Price Prediction project focuses on predicting the prices of houses in various localities of Delhi. The primary objective is to develop a predictive model that can accurately estimate the prices of houses based on several key features present in the dataset.

Recipe Recommendation AppLatest

AI Assignment SolverLatest