Projects
|
-
Village Welfare System Using CNN Algorithms
➲
- Description: Engineered a Village Welfare System with disease prediction, government scheme display, and crop recommendation modules.
- Technologies: HTML5, CSS3, JavaScript, Python, Machine Learning.
- Role: Front-end developer focusing on user-friendly interfaces.
- Outcome: Achieved over 90% disease identification accuracy and Improved rural agricultural information access.
-
CKD Prediction using Machine Learning Algorithm
➲
- Description: Developed and implemented a Random Forest machine learning model to predict Chronic Kidney Disease (CKD) from clinical and demographic data.
- Technologies Used: Python, scikit-learn, pandas, numpy
- Outcome: Achieved 98% accuracy in CKD prediction, enhancing early detection capabilities and supporting improved patient care strategies.
-
Canteen Management System
➲
- Description: Automated food, inventory, order, and sales management.
- Technologies Used: HTML5, CSS3, JavaScript, MySQL.
- Outcome: Reduced manual workload by 40%, resulting in a 20% increase in efficiency.
-
Bus Reservation System
➲
- Description: Engineered a Bus Reservation System with user, bus, and reservation management features using Java and MySQL.
- Technologies: Java, JDBC, MySQL.
- Outcome: Enhanced booking efficiency and achieved reliable database operations with seamless user interactions.
|
|