Sanjana Muthukumar

I’m a final-year Computer Science (AI) student at Manipal Institute of Technology, Bengaluru, with a strong foundation in AI, ML, and software development. My focus areas include Deep Learning, NLP, Data Analytics, and web development, supported by hands-on research and projects.

I’m passionate about academic writing and solving real-world problems through technology. Beyond academics, I enjoy design, creative writing, and ideation. I’m eager to apply my skills to practical challenges while exploring emerging technologies.

Sanjana Muthukumar
Experience +
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Research Intern - International Centre of Applied Sciences (ICAS) Manipal

May 2025 - June 2025 | 40 days

  • Research on predicting mortality using mRS in Intracerebral Hemorrhage patients
  • Predicted Intracerebral Hemorrhage (ICH) patient mortality using mRS scores (0-6 scale)
  • Preprocessed hospital data (under NDA) using TVAE, Bootstrap, and SMOTE, reducing error by 30-35%
  • Benchmarked 10+ models including Random Forest, LightGBM, CatBoost, Naive Bayes, and others
Technologies: Deep Learning, Statistical Modeling, Medical Data Analysis
Global Academic Internship Program (GAIP) - National University of Singapore

June 2024 | 3 Weeks | Organized by Corporate Gurukul in collaboration with AWS

Curriculum Highlights:

  • Training in Machine Learning and Deep Learning by NUS professors
  • Hands-on AWS sessions covering cloud tools, model deployment, and scaling

Achievements: Ranked in top 10% in academic assessments

Technologies: Python, Machine Learning, Deep Learning, AWS
Graphic Design Intern - Open Horizon®

August 2023 - January 2024 | 6 Months

  • Designed logos, event posters, social media creatives, and brand identity materials
  • Developed branding concepts using mood boards, color palettes, typography, and layout principles
  • Find my Conceptual Branding Graphic Design Portfolio that got me this role by clicking on the image.
Tools: Adobe Illustrator, Adobe Express, Canva
Projects +
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Hyperspectral Imaging (HSI) for Land Cover Classification
  • Capstone Project of GAIP internship (National University of Singapore)
  • Used Indian Pines & Salinas datasets
  • Applied 3D CNN and ResNet models
  • Achieved 99% classification accuracy
  • Focused on spectral band preprocessing, dimensionality reduction, and model evaluation
  • Highest scoring team project in the batch
  • Unprecedented accuracy in the past 8 years of GAIP
Technologies: Python, TensorFlow, Deep Learning, Remote Sensing
Static YouTube Homepage Clone
  • Static clone of YouTube homepage using HTML and CSS
  • Responsive design using Flexbox and Grid
  • Interactive elements with hover effects and tooltips
  • Modular CSS structure for maintainable code
Technologies: HTML5, CSS3, Responsive Design
Amazon E-Commerce Clone
  • Full-featured e-commerce interface with product browsing and cart management
  • Dynamic cart updates with quantity adjustment and item removal
  • Checkout flow with delivery options and real-time price calculations
  • Persistent user data using Local Storage API
Technologies: JavaScript, DOM Manipulation, Local Storage API
Flip – AI-Powered Book Review & Recommendation Platform
  • Full-stack web application to review, rate, and discover books
  • Features user authentication, single review per book, and half-star ratings
  • Displays dynamic average ratings and top reviewed books updated in real-time
  • Content-based recommendation system leveraging author, genre, keywords, and themes
  • Interactive AI mascot enhances user experience with guided messaging
  • Currently used by a small user base of friends and connections
Technologies: React, Supabase, Google Books API, JavaScript, TF-IDF, Cosine Similarity
Movie Recommendation System (NextWatch)
  • Content-based filtering system using cosine similarity
  • User inputs favorite movie, system returns similar recommendations
  • Refined output from top 50 to top 30 based on user feedback
  • Designed and implemented UI using Streamlit
Technologies: Python, Streamlit, Recommendation Systems
OCR for Indian Regional Languages
  • Developed CNN architecture for recognizing handwritten numerals
  • Datasets included Urdu (Kaggle dataset) and other regional Indian language datasets
  • Implemented preprocessing pipeline with Gaussian blur and Otsu's thresholding
  • Deep CNN architecture with multiple convolutional layers and strategic pooling
Technologies: Python, TensorFlow, Computer Vision, OCR
Blender Donut Animation
  • 10-second 3D animation clip created in Blender
  • Designed donuts from scratch starting with torus mesh
  • Added detailed glazing and sprinkles
  • Used Poliigon assets for background elements
  • 180 frames rendered at 24fps (~3 days render time)
Tools: Blender, Poliigon, 3D Modeling
Research & Publications +
Conference Presentation ETCC Research Dubai Conference
Disaster Management Research
AI-Based LSTM-BERT Model for False News Detection
  • Hybrid LSTM-BERT model achieving 97% accuracy
  • Outperformed standalone models in detecting sophisticated misinformation
  • Presented onsite at CODE AI 2025 (Manipal Dubai)
  • Accepted for publication in Springer proceedings
Technologies: Python, TensorFlow, NLP, Deep Learning
Detection of AI-Generated Content Across Modalities: Text, Image and Audio
  • Built the image classifier using ResNet18 with 97.5% accuracy on CIFAKE dataset
  • Comparative study of VGG16 vs ResNet architectures
  • Full pipeline from data sourcing to model evaluation documented
  • Presented onsite at ETCC 2025 (PES Bengaluru)
  • Accepted for publication in IEEE Xplore
Technologies: Python, PyTorch, Computer Vision
Literature Review of Use of AI in Disaster Management
  • Systematic analysis of 90+ papers across 20 years
  • Novel classification into Primitive (2000-2010), Transitional (2011-2016), and Modern (2017+) eras
  • Compared AI effectiveness in mitigation, preparedness, response, and recovery phases
  • Submitted to Natural Resources Forum journal
Methodology: Literature Review, Meta-Analysis
Leadership & Activities +
Women in Engineering Event Literature Society Event Photography Club
Chair, Women in Engineering (IEEE) | MIT Bengaluru (Jan 2025 – Jun 2025)
  • Executed 3 major events with 60-120+ participants each
  • Organized Industry Connect with Google speaker for career guidance
  • Conducted STEM outreach at government school for International Girls and Women in Science Day
  • Hosted panel discussion where female interns shared their journey
  • Published 2 LinkedIn articles and tripled social media engagement
President, The Literature Society | MIT Bengaluru (Aug 2023 – Aug 2024)
  • Organized 10+ literary events including Harry Potter Fest, open mics, and poetry contests (30-100+ participants)
  • Led Book Club discussions and managed a team of 10 committee members
Head of Creative Content, Photography Club | MIT Bengaluru (Jan 2024 – Dec 2024)
  • Directed content creation for social media and exhibitions, gaining experience in ideation and creative writing
Editorial Board (Magnolia - College Magazine) | MIT Bengaluru (Feb 2023 – May 2023)
  • Led a team to research, write, and publish 8 How-To articles on various topics for student guidance
Contact & Links +