Hi, I'm Pabitra Kumar Mohanty.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

Hi Everyone, I am Pabitra Kumar Mohanty from Bhubaneswar, Odisha. I am a final year student persuing BTech in Mechanical Engineering at Odisha University of Technlogy and Research. I enjoy problem-solving and coding. I have worked on technologies like C++, HTML5, CSS, Bootstrap, JavaScript, nodeJS. And my feild of intrests are new Web Technologies and Products.

  • Languages: C++, HTML, CSS, JavaScript, SQL
  • Databases: MySQL, MongoDB
  • Libraries: jQuery, STL
  • Frameworks: Bootstrap, NodeJS, ExpressJS
  • Tools & Technologies: Git/Github, VS Code, Chrome Dev Tools, npm

Looking for an opportunity to work in a challenging position combining my skills, which provides professional development, interesting experiences and personal growth.

Experience

Web Development Intern
  • Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
  • Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
  • Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
  • Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
  • Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
April 2023 | Remote

Projects

music streaming app
Music Player Web-App

A music streaming web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Search and filter songs based on language and singer.
  • Create multiple playlists and add/remove songs to/from playlist.
  • Scroll through recently played/viewed songs.
quiz app
Quiz Web-App

A quiz playing web app based on Django

Accomplishments
  • Tools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
  • Register/login to the web app(with OAuth-based Google Sign-In).
  • Play Quiz and see the leaderboard
Screenshot of web app
Blog Web-App

A simple and extensible blog web-app based on Flask.

Accomplishments
  • Tools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
  • Users can view posts and contact the admin via Contact Page.
  • Admin can Add, Delete, Update posts.
Screenshot of  web app
Visual Question Answering

An attention-based classification model that aims at generating an answer for a given input image.

Accomplishments
  • Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term Memory for extracting question embeddings.
  • Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the VQA evaluation metric.
Screenshot of  web app
Video Summarizer

A Seq2Seq model that generates a short summary of the given input video.

Accomplishments
  • Incorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for generating a summary.
  • Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71, 0.52 scores respectively on ROGUE, BLEU, METEOR evaluation metrics.
Screenshot of  web app
Image Generator

An image generator based on the concept of adversarial networks (GANs)

Accomplishments
  • Developed system was tested on a human-face database and loss was calculated by comparing the PCAs of generated and original image.
  • Calculated difference in PCA was less than 10%, depicting the successful generation of an image by the generator.
Screenshot of  web app
Head Counting System

A system that calculates the attendance of the class from a panoramic image of a live classroom.

Accomplishments
  • Used Singular Value Decomposition for image compression; applied various image processing techniques and morphological operations to detect the number of heads.

Education

Odisha University of Technology and Research

Bhubaneswar, Odisha

    Degree: Bachelor of Technology in Mechanical Engineering
    CGPA: 8.05(till 6th sem)

    Kendriya Vidyalaya No. II, CRPF Campus

    Bhubaneswar, Odisha

      Higher Secondary Education(CBSE)
      Percentage: 71.16%

      Matriculation(CBSE)
      CGPA: 9.4

      Contact