Hi There! 👋🏻
I'M Srajan Chourasia
and I'M passionate about
Srajan Chourasia
   A Quick Introduction!

ABOUT

Srajan Chourasia

I'm Srajan Chourasia, a final-year student pursuing B.Tech in Computer Science and Engineering at IIT Goa.

My journey through academia has been a captivating exploration of the intricate realms of AI, Machine Learning, and Deep Learning. With an unyielding fascination for these fields, I've dedicated myself to honing my skills and translating theoretical knowledge into practical solutions. From crafting complex Convolutional Neural Network (CNN) models to delving into Computer Vision, I am deeply committed to harnessing technology's potential to unravel and transform the world around us.

My thirst for knowledge extends beyond the classroom. Embracing the ethos of open source and community collaboration, I've actively contributed to diverse projects, recognizing the power of collective intelligence and cooperative innovation. A notable milestone was my selection and triumphant completion of the Girls Script Summer of Code, an experience that solidified my belief in the value of meaningful contributions to the wider tech ecosystem.

Leadership has been an integral aspect of my academic journey. As the former General Secretary of Technical Affairs, I steered the technical trajectory of my college, fostering an environment of technical excellence and innovation. Simultaneously, orchestrating the College's premier technical festival, Cepheus, allowed me to showcase my organizational acumen on a larger stage.

Currently, I'm immersed in an enriching R&D internship at Siemens EDA, where I am actively involved in pioneering advancements that push the boundaries of technology. In tandem, I'm exploring the world of Generative Adversarial Networks (GANs) and honing my web development skills, a vital complement to my expertise in AI/ML/Deep Learning.

My portfolio is a testament to my journey, showcasing the fusion of knowledge, creativity, and innovation. As you peruse my projects and experiences, I invite you to connect with me. Let's explore ways to collaborate, learn, and shape a future where technology drives meaningful change.

  What I had done so far!

Work Experience

🤖 AI Intern
INMOVIDU

  • Completed the course in “Artificial Intelligence” offered by Inmovidu.
  • Developed Traffic Sign Classifier and Face Mask Detector using CNN.
  • Worked on Object Recognition, and News Classifier (using NLP) as an Internship Project.

🌐 Open Source Contributor
GirlScript Summer of Code

  • Contributed to the ML-CaPsule project, actively participating in various tasks and enhancements.
  • Developed a Tomato Plant Disease Predictor, Alzheimer Disease Prediction CNN Model, and Heart Disease Classifier as part of the project.
  • Expanded the project by adding a comprehensive section on Basic Deep Learning using Keras.

🔬 ML Research Intern
IIT Goa

  • Developed multitasking CNN model for low-end devices, utilizing TensorFlow and Keras for pothole and threat level prediction.
  • Curated and merged diverse datasets, creating a comprehensive 30k-image dataset with mapped features.
  • The Android app uses the model for real-time pothole detection and threat level assessment, allowing citizen uploads and server-based prioritization for PWDs’ repair decisions. Presented colour-coded density maps on Google Maps.

🔬 R&D Intern
Siemens EDA

  • Working under the Questa team, focusing on optimization and simulation of designs.
  • Gained expertise in System Verilog by learning and using the product from a user’s perspective.
  • Currently focused on compiler optimization in C/C++ and Python to improve design performance, test bench simulation and design coverage.
  What I had Made so far!

Projects

Face Mask Detector
I crafted a Convolutional Neural Network (CNN) model to effectively discern mask-wearing status. By integrating OpenCV, I enabled real-time webcam face detection, seamlessly feeding the detected face into the model and promptly presenting outcomes on the screen.
</> GitHub
Face Recognition cum Reverse Search
I engineered an advanced face recognition system that learns from just one image, and introduced a reverse image search to extract metadata from similar web images. This accomplishment was highlighted by my victory in the Goa Police Hackathon, showcasing my excellence in innovation and problem-solving.
</> GitHub
Bayesian Sampling and Advanced Querying
I coded a tool for input probability queries on a provided Bayes net using advanced methods (Prior, Rejection, Likelihood, Gibbs Sampling). Deployed on PyPI, it aids accurate probabilistic assessments for discrete variables.
</> GitHub
📦 PyPi
Re Café
I designed a Python-based terminal application for streamlined café management. By employing multiple Python scripts, I established a seamless mechanism to handle, manage, and store café data, utilizing CSV files as the database infrastructure.
</> GitHub
Google Trex Run Game Automation using OpenCV Template Matching
Implemented and automated the Google T-Rex run game using OpenCV in Python. Utilized template matching techniques to create a live demonstration of game automation, showcasing practical applications of the technology.
</> GitHub
⎚ Demo
Pothole Detection and Severity Assessment MultiTask Model
The model I developed serves to identify the presence of potholes within an image. In instances where potholes are detected, the model assigns corresponding severity/threat level to identified pothole image.
</> GitHub