DA@darisa-adithya

Computer Engineering student ready to start a career

I study Computer Engineering and am finishing my bachelor's while preparing for my first professional role.

Work samples

A small portfolio of class projects and personal work that shows fundamentals in hardware, software, and systems, prepared as I graduate.

  • AI Dubbing System
    AI Dubbing System

    Built an end-to-end AI pipeline that automatically dubs English videos into 5 languages using Whisper, Helsinki-NLP and gTTS. Implemented audio time-stretching using Librosa to synchronize dubbed speech with original video timestamps. Deployed live web application on Streamlit with video upload, language selection and download functionality. Integrated 4 AI models in a single pipeline covering speech recognition, translation and voice synthesis.

    PythonWhisperHelsinki-NLPgTTSMoviePyStreamlitLibrosa
  • Stock Price Prediction Web Application
    Stock Price Prediction Web Application

    Developed an LSTM-based application for stock price forecasting. Achieved 92% directional accuracy using SMA and EMA indicators. Built an interactive dashboard using Flask and Chart.js to visualize historical prices, predicted trends, and market insights. Improved prediction speed through pretrained model optimization.

    PythonFlaskTensorFlowLSTMChart.js

About me

I study Computer Engineering and am finishing my bachelor's while preparing for my first professional role.

I am Darisa Adithya, a Computer Engineering student pursuing a bachelor's degree. I have limited work experience and am preparing to start my career, building foundational skills and projects as I graduate.

Education

VIT-AP University, Amaravati

B.Tech Computer Science

Narayana Junior College

Class XII (BIEAP)

Nagarjuna Model School

Class X (SSC)

Skills

Computer Engineering fundamentalsHardware and software basicsCoursework-driven project experience

AI Dubbing System

Built an end-to-end AI pipeline that automatically dubs English videos into 5 languages using Whisper, Helsinki-NLP and gTTS. Implemented audio time-stretching using Librosa to synchronize dubbed speech with original video timestamps. Deployed live web application on Streamlit with video upload, language selection and download functionality. Integrated 4 AI models in a single pipeline covering speech recognition, translation and voice synthesis.

PythonWhisperHelsinki-NLPgTTSMoviePyStreamlitLibrosa
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Stock Price Prediction Web Application

Developed an LSTM-based application for stock price forecasting. Achieved 92% directional accuracy using SMA and EMA indicators. Built an interactive dashboard using Flask and Chart.js to visualize historical prices, predicted trends, and market insights. Improved prediction speed through pretrained model optimization.

PythonFlaskTensorFlowLSTMChart.js
View all work

Object Detection Model

Trained a YOLO model from scratch on a custom 3-class vehicle dataset without using pretrained weights. Achieved mAP@0.5 of 85.9% with class-wise F1 scores of 0.84, 0.87 and 0.83 across vehicle categories. Built and deployed a real-time object detection system using Flask and OpenCV for live inference. Evaluated model performance using confusion matrix, precision-recall curves and IoU metrics.

PythonYOLOOpenCVTensorFlowFlask
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