This project combines NLP techniques and deep learning to classify emotions like anger, joy, and sadness from text. Using Keras LSTM models with GloVe embeddings, it processes text for emotion detection. A Tkinter-based GUI and email spam classifier add functionality for token analysis and spam email extraction.
College
Built a distributed image processing application with Python, OpenCV, MPI4Py, and Nginx for tasks like edge detection, color inversion, and brightness adjustment. Optimized performance with automated scheduling and threading for large image sets. Integrated logging for effective performance monitoring and result tracking.
College
This project develops a classical computer vision pipeline to decode QR codes per ISO/IEC 18004, without external libraries. It includes preprocessing, noise reduction, frame extraction, and manual decoding of QR code samples. The goal is to build practical skills in image processing and QR code mechanics.
College
Designed a microservices architecture with Authentication, Gateway, Converter, and Notification services, utilizing both synchronous and asynchronous communication. Deployed services via Docker and Kubernetes, optimizing management with Ingress and StatefulSets. Achieved scalability and resilience in a distributed environment
Self Learning
MongoDB
Docker
Jira
Tensorflow
JavaScript
java
c++
git
GraphQL
Flutter
RabbitMQ
Redis
Node js
Terraform
gRPC
SCSS
Dart
Kubernetes
CSS
python
AWS
Jenkins
HTML
Postgres
Mysql
Typescript
GCP
React
2020
hulu
2023
ECPC
2023
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