README.md

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

🛠️   Tech Stack

AI Models used:

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

✅  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

👔   Candidate Details

Name: Rupesh Raut

Graduation year: 2025

Contact:

           

Thank You!