ManageArtworks (A flagship
product brought to you by Karomi, a leading Enterprise SaaS provider) enables
**** leading Global and Indian brands. We offer everything to get artwork
projects going & manage every step of the packaging and artwork process.
Companies reach markets faster with our end -end packaging & artwork
management system while achieving 100% compliance.
Project Duration:
2
Months
Location:
Chennai – On Site
Develop a
visual segmentation and grouping
system to detect
text blocks from packaging artwork PDFs.
Extract text using
PDF parsing
,
OCR
, and
vector
path analysis
.
Build a
classification module
to categorize copy (e.g.,
ingredients, nutrition, warnings, claims, dosage, legal statements).
Use
LLMs and multilingual embeddings
for semantic
understanding across multiple languages.
Handle complex scenarios such as:
Text in different layers or flattened PDFs
Vectorized or dotted text
Multi -language copy (EU languages, Indian languages, etc.)
Mixed visual objects and symbols
Develop logic to associate text with nearby icons (e.g., ℮ mark,
Veg symbol, certification marks).
Create a
structured JSON output
representing the extracted
copy blocks.
Build small visualization/debug tools to highlight extracted regions
on artwork.
Collaborate with domain experts in food, pharma, and cosmetics labelling.
Requirements
Technical Skills
Solid Python fundamentals
Experience with one or more of the following:
pdfplumber
,
PyMuPDF (fitz)




, pdfminer
OpenCV
for image/geometry operations
OCR tools
(Tesseract, EasyOCR, TrOCR)
Deep learning frameworks
: PyTorch or
TensorFlow
NLP/LLM frameworks
: HuggingFace
Transformers, Sentence Transformers
Multilingual embeddings
(Indic, EU,
global multilingual models)
Document AI models
like
LayoutLM, DocTr, or LayoutLMv3 (bonus)
Analytical Skills
Ability to reason about layouts, visual hierarchy, and grouping
logic
Interest in combining vision + language intelligence
Attention to detail when dealing with regulatory copy
Nice -to -Have Skills
Experience with YOLO, Detectron2, or Vision Transformers
Understanding of packaging artwork concepts (die -lines, copy,
compliance, symbols)
Basic knowledge of food/pharma/cosmetics regulatory layouts
Familiarity with multilingual text handling.
What will you learn
Multimodal Document AI (vision + text)
Advanced PDF engineering and vector processing
Text extraction from complex packaging artwork
Deep learning for layout detection
Working with multilingual datasets
Real -world packaging industry challenges
Regulatory labelling requirements across categories
By the end of the internship, you will have built:
An end -to -end copy extraction pipeline
A visual grouping engine
A multi -domain classification system
Structured JSON outputs for downstream compliance and automation
workflows
A working demo/mini -tool to test extraction accuracy

📌 Ai Intern (Chennai)
🏢 Karomi
📍 Chennai