Sofware Engineer | Java | Springboot | AWS

github

Siddharth Ajith  • Peerlist

Involved in developing an Accident Detection and Alert System inside a motorcycle helmet that detects an accident and sends an alert message containing the location of the accident to the concerned authorities. It also alerts nearby people with a buzzer upon detecting an accident.

Accident detection and Alert System inside a Motorcycle Helm

Conducted sentiment analysis on movie reviews using diverse deep learning models: Simple neural network, CNN and LSTM. LSTM outperform others with higher accuracy when compared to other models which was used, highlighting its abilities to capture long term dependencies and contextual cues in sequential data

Deep Learning Algorithms for Sentiment Analysis

Developed an assisting system for the disabled using eye blink detection for enhanced communication among paralyzed individuals. By mapping eye blinks to sentences on a virtual keyboard and converting them to audio, the system enables more natural expression, fostering independence and improving the quality of life.

Eye Blink Detection System for the Disabled - Assisting Syst

- This project implements a data pipeline that processes sales data using the Medallion architecture, 
   consisting of three layers: Bronze, Silver, and Gold.
- The pipeline ingests raw data from Azure Storage, transforms it through various stages, and stores the 
   processed data in Delta format using Unity Catalog on Azure Data Lake Storage (ADLS). 
- The pipeline includes data enrichment and aggregation steps to derive insights such as top customers 
  and product sales.