Rupesh-2003 / techsurf

Digital Asset management application which auto tags images, provides semantic search and other image editing, compressing and conversion features.

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Digital Asset Management

Developed a Full Stack Application on DAM which allows users to auto tag the images, compress, convert and edit through a single portal. All the assets are pushed on the linked google drive and its meta data is stored in MongoDB. Users can perform a semantic search on the images resulting in accurate search results.

Video

Digital.Asset.Management.mp4

๐Ÿ› ๏ธ   Tech Stack

nextJs tailwind flask python

AI Models used:

  • facebook/detr-resnet-101
  • nlpconnect/vit-gpt2-image-captioning
  • sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2


โœ…  Tasks Checklist

  • AI-powered Image Analysis and Tagging
  • AI-powered Image captioning
  • Image Optimization
  • Image compression
  • Image format conversion
  • Metadata Management
  • Searching of the Images (Semantic)
  • Recently uploaded Images
  • Save the image to cloud
  • Download the image
  • Image Editing
  • Elegant UI
  • Proper Error handling

Steps to Run Locally

Frontend:

  1. cd frontend
  2. npm install
  3. npm run dev

Backend

  1. cd backend
  2. pip install -r requirements.txt (pip/pip3) depending on your system
  3. python3 main.py

ScreenShots

Screenshot 2023-08-28 at 5 42 03 AM Screenshot 2023-08-28 at 5 42 34 AM Screenshot 2023-08-28 at 5 42 40 AM Screenshot 2023-08-28 at 5 43 36 AM Screenshot 2023-08-28 at 5 43 55 AM Screenshot 2023-08-28 at 5 48 34 AM Screenshot 2023-08-28 at 5 49 06 AM

๐Ÿ‘”   Candidate Details

Name: Rupesh Raut

Graduation year: 2025

Contact:

Rupesh Raut | LinkedIn    Rupesh | Twitter    Rupesh | Behance    Rupesh | Mail   

Thank You!

About

Digital Asset management application which auto tags images, provides semantic search and other image editing, compressing and conversion features.


Languages

Language:JavaScript 71.8%Language:Python 20.6%Language:CSS 7.7%