Hey everyone, I wanted to share a Python project I've been working on called the AI Instagram Organizer. The Problem: I had thousands of photos from a recent trip, and the thought of manually sorting them, finding the best ones, and thinking of captions was overwhelming. I wanted a way to automate this using local LLMs. The Solution: I built a script that uses a multimodal model via Ollama (like LLaVA, Gemma, or Llama 3.2 Vision) to do all the heavy lifting. Key Features: - Chronological Sorting: It reads EXIF data to organize posts by the date they were taken. - Advanced Duplicate Filtering: It uses multiple perceptual hashes and a dynamic threshold to remove repetitive shots. - AI Caption & Hashtag Generation: For each post folder it creates, it writes several descriptive caption options and a list of hashtags. - Handles HEIC Files: It automatically converts Apple's HEIC format to JPG. It’s been a really fun project and a great way to explore what's possible with local vision models. I'd love to get your feedback and see if it's useful to anyone else! GitHub Repo: https://github.com/summitsingh/a... Since this is my first time building an open-source AI project, any feedback is welcome. And if you like it, a star on GitHub would really make my day! ⭐

AI Instagram Organizer

AI tool to organize photos into Instagram-ready posts.

AI tool to organize photos into Instagram-ready posts.