- Built a full-stack, cloud-based
learning platform with multi-user roles enabling teachers to
effortlessly upload study materials
to AWS S3 and students to access them anytime and generate AI-powered summaries in English
and
native Indian
languages, making content more accessible and personalized.
- The platform includes an admin
dashboard for managing
users and content efficiently.
- User friendly frontend is built
with React.js and Bootstrap. The
backend was implemented
in two separate tech stacks to demonstrate flexibility: .NET Web API, MS SQL Server, AWS S3
and
Spring Boot, MySQL,
and AWS S3.
Technologies Used: Spring Boot, MS .NET, React.js,
Bootstrap, MySQL, AWS S3
- Developed an interactive online
platform enabling users to summarize videos in their native
indian language.
- Implemented a full stack solution
using HTML5, CSS3, JavaScript for front end and Python
flask,
Assembly Ai Speech-to-Text API (for transcription), YouTube API, Hugging Face Transformer
(T5-Base Transformer), Google Translate API for backend.
- Implemented a solution that focuses on
maintaining the chain of accuracy along with UX.
Technologies Used: HTML5, CSS3, JavaScript, Python Flask,
Google Translate API,
T5-Base Transformer
- Developed a full-stack quiz web
application with multi-user support, allowing teachers to
easily
create quizzes and students
to take them to test their knowledge. The app also saves students quiz results, which
teachers
can view and track over
time.
- The front end is built using
React.js and Bootstrap for a clean and interactive interface,
while the backend uses
ASP.NET Core API and MS SQL Server for robust data handling.
Technologies Used: ASP.NET Core API, React.js, MS SQL
Server,Bootstrap
-
Developed an online platform enabling users to book hotel rooms. Implemented a full stack
solution using React Js and
Spring Boot, and MySQL for robust server-side management, ensuring a seamless and
user-friendly
experience.
- Implemented multi user
functionality to help admin add and manage rooms and enable
user to book rooms
hassle free
Technologies Used: Java, SpringBoot, React Js, MySQL, AWS
S3
- An online platform enabling users
to book travel tickets and packages was developed.
- Implemented a full-stack solution
using HTML, CSS, and JavaScript for web design, coupled with JDBC, Servlet, and MySQL for
robust server-side management, ensuring a seamless and user-friendly experience.
Technologies Used: HTML5, CSS3, JavaScript, JDBC, Servlets,
MySQL
- Implemented a Deep Learning Model
using Long Short-Term Memory (LSTM) neural network for the
prediction of future
stock prices that leveraged historical stock information to train the model.
- Utilized Root Mean
Squared Error (RMSE) as
the evaluation metric to assess the accuracy and performance of the developed model.
Technologies Used: Jupyter Notebook, Python, Tensorflow,
Keras, LSTM
- Developed a dynamic website using
HTML, CSS, and JavaScript to provide a user-friendly interface
for accessing and
validating location-based alphanumeric codes.
- Employed Python libraries such as
Geopy and Flask
to generate unique
alphanumeric codes for each location using latitude and longitude data, facilitating
efficient
address verification.
Technologies Used: HTML5, CSS3, JavaScript, Python Flask,
Geopy
- The Checklist Management System,
implemented in Java using Object-Oriented Programming
principles, offers a robust solution for organizing and monitoring tasks.
The system employs a Task class to encapsulate task details, promoting modularity and code organization.
- Users interact with the system
through a menu-driven console interface, allowing them to add tasks,
mark tasks as completed, and display the current checklist. This design enhances user
experience and showcases foundational OOP concepts such as encapsulation and inheritance.
Technologies Used: Java, OOP Principles
