Vishavs Patel's repositories
GrowFarm
The project aims to create a centralized database of farmers with digital profiles that include all their relevant details. Additionally, the system features an alert system for new schemes and subsidies, as well as a machine learning-based crop recommendation system and disease detection with fertilizer suggestions.
CAREER-INSIGHTS
A web Portal Used for the Prediction of Admission Jobs in Engineering and Technology /Management/Pharmacy with respect to demographic locations.
Covid-19-Tracker
A COVID-19 tracker project provides daily cases, graphs, and maps for different regions or countries using APIs to fetch the latest data. Users can search and filter data, view educational resources, and see country-wise data in real-time, including the number of confirmed cases, deaths, and recoveries.
GARBAGE-DETECTION
This project focuses on detecting and reporting garbage using cameras. Notifications are sent to the municipality's web portal and workers are alerted to collect the garbage in real time. The project also includes a garbage analysis dashboard that provides valuable insights into the quantities of garbage collected from various locations.
HEALTH-ASSISTANT
This project employs machine learning algorithms and medical data analysis to detect and predict kidney, heart, and liver diseases based on user medical report data. The system also offers personalized assessments of diabetes and cancer risk.
Real-Time-Chat-App
Real-time chat application that uses Socket.io, MongoDB, and Node.js. It allows users to exchange messages instantly in public or private chat rooms. The application provides a user-friendly and scalable solution for real-time communication.
Sorting-Visualizer
Developed an interactive web application that visualizes various sorting algorithms, including bubble sort, selection sort, insertion sort, heap sort, merge sort, and quick sort. The project involved designing and implementing algorithms to sort and manipulate data, as well as creating an intuitive user interface for the visualization.