Name: soham shrikant manjrekar
Type: User
Company: RIZVI COLLEGE OF ENGINEERING
Bio: π Passionate Computer Science Enthusiast | Aspiring Developer | Innovator.
Hi, I'm Soham Shrikant Manjrekar, dedicated to advancing tech and innovation.
Location: Thane , Maharastra , India
soham shrikant manjrekar's Projects
The Blockchain-based Easy Voting System is a novel and innovative solution designed to address the challenges faced by traditional voting methods, such as security concerns, lack of transparency, and difficulty in verifying election results.
Best cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single website.
Universities are very prestigious places to access higher education Some students need a lot of attention from instructors because if special attention will not be given to those students who are not getting good grades, it could be detrimental to their emotional state and their career
CodeConnect is a cutting-edge social media platform designed exclusively for coders, developers, and tech enthusiasts. This innovative platform fosters collaboration, learning, and networking within the coding community.
Currency converter mini project is built keeping this thing in mind. In this website, there is regular update about currency of every country by which it displays present currency market value and conversion rate.
This Diabetes Prediction System Machine Learning Project based on the prediction of type 2 diabetes with given data. Diabetes is a rising threat nowadays, one of the main reasons being that there is no ideal cure for it. There are two types of diabetes. Type 1 Type 2 Type 2 diabetes is commonly called diabetes mellitus. It can be defined as a chronic condition that affects how the body processes blood sugar (glucose). We consider the Mellitus here. After several research types, we found that some parameters are directly responsible for the Mellitus to occur. By using the data of the people with diabetes and without diabetes, a dataset has been built. We use that dataset to classify the people who are at risk of getting diabetes. In our Diabetes Prediction System Machine Learning Project, we have used algorithms to predict and detect diabetes. Using our Diabetes Prediction System Machine Learning Project, the required information is gathered from the individuals. From the collected data, the required database is prepared for the particular. The analysis also includes the symptoms in the human body for diabetes like frequent urination, sudden vision changes, excessive thirst, extreme hunger, unexplained weight loss, etc. It is the simplest way to combine all the predictions of the different machine learning algorithms. It is not an actual classifier, but it is a wrapper for different training data sets. The accuracy score in Diabetes Prediction System Machine Learning Project is the fraction of our prediction model. Thus, the performance is determined by using this accuracy score. We proposed Diabetes Prediction System Machine Learning Project, which will be useful for people who want to know their medical condition, for instance. As we are using the algorithm mentioned above is much better than the existing algorithm used. It gives more accuracy to predict diabetes disease. The project may also help researchers and students to develop an accurate and useful tool that will reach the table of clinicians to help them make a better decision about the disease status.
An expense tracker built using vanilla javascript to track your expenses dynamically.Expense Tracker, a powerful expense tracking web application . This comprehensive tool is designed to assist users in effectively managing their financial transactions, including earnings, expenses.
FeastForge: Next.js & Go-powered restaurant management. Seamlessly handle menus, orders, reservations, & more. Delight customers & staff. Your culinary journey starts here! π½οΈπ»
:books: Freely available programming books
Sparks Foundation Web Development Internship Project : Basic Banking System website. A web application used to tranfer virtual money between multiple users and also record the banking transactions/ activities.
This repository contains Java solutions to various problems from LeetCode, categorized by problem type. Each problem is solved and explained to aid understanding and learning.
Explore and master SQL with this repository featuring solutions to 50 LeetCode SQL challenges. Whether you're learning SQL basics or diving into advanced queries and optimizations, this repository provides clear, detailed solutions to enhance your SQL skills.
A simple & clean way to calculate loan EMl.Loan EMI calculator is a basic calculator that helps you to calculate the EMI, monthly interest and monthly reducing balance on the basis of principal amount, loan tenure and interest rate.
Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has Diabetes, Heart issues, Parkinson's, Liver conditions, Hepatitis, Jaundice, and more based on the provided symptoms, medical history,Β andΒ results.
Config files for my GitHub profile.
The proposed Spam Detection System (SDS) begins by employing a robust feature extraction process to convert raw textual data into meaningful feature vectors, capturing essential characteristics of both legitimate and spam messages.