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Project details
Our project stands out by combining cutting-edge technology with a deep commitment to sustainability. Unlike competitors, we prioritize environmental impact reduction at every stage, from design to execution. Our innovative use of renewable materials and energy-efficient processes sets a new standard for eco-conscious practices in our industry. By integrating these elements seamlessly into our product, we not only meet market demands but also contribute positively to the planet. This dedication to sustainability not only future-proofs our project but also enhances its appeal to socially responsible consumers and investors alike.
Programming Languages
Python, JavaWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 3 | 6 | 6 |
Design Customization | |||
Content Upload | - | ||
Responsive Design | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$50
Additional Page
(+ 2 Days)
+$25
Source Code
(+ 3 Days)
+$100About Neha
AI & Machine Learning | Amazon Web Services, Angular, Data Analytics
Kannur, India - 11:21 pm local time
PROJECTS
Loan Management Application
A Kerala government's web application portal is designed for
applying for and managing various loans specific to a
particular community. It comprises three main sections: a
public portal for submission of required information by the
public, an official portal for verification and loan processing
by office users, and an admin portal for configuring
workflows and managing privileges.
Technology : Java-Spring boot and Angular | DB : MySQL
Main Project | MCA | Student Management
Student management system that helps to perform tasks
such as encompassing an online library management system,
online hostel management system, and a secure repository
for storing certificates and badges
Freelance Projects
Online Education Web Application
Developed a comprehensive online education platform leveraging Django for backend development to provide an interactive learning experience. The platform integrates machine learning and natural language processing (NLP) to enhance user engagement and personalize the learning journey. Key features include secure user authentication and profile management, a robust admin panel for course management, and personalized learning recommendations using collaborative filtering and content-based algorithms. Interactive quizzes with adaptive difficulty levels and an NLP-based chatbot for real-time student support are also implemented. The platform supports discussion forums for community engagement and includes a data analytics dashboard for instructors to monitor student progress and course effectiveness. The application is deployed on a cloud platform, ensuring scalability and reliability, with CI/CD pipelines for seamless updates. Technologies used include Python, Django, Django REST framework, HTML, CSS, JavaScript, React.js, PostgreSQL, Scikit-learn, TensorFlow, NLTK, spaCy, Docker, AWS/GCP, and Nginx. Key responsibilities involved designing backend architecture, developing machine learning models, integrating an NLP chatbot, managing database schema, ensuring application security, and deploying on a cloud platform. Achievements include a 30% improvement in user engagement and course completion rates, a 40% increase in student support efficiency, and scalable performance for concurrent users
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