Vijay Jaisankar@vijay_jaisankar568

With the exponential rise of Social media nowadays, there has been a great empowerment of creators and new locations to a global audience. However, there has also been evidence of social media posts being linked to doxxing and harassment by bad actors using AI models. We intend to flip this switch by empowering social media users with information regarding potentially location-revealing portions of their images and suggest changes to the image, using the incredible GPT-5 model. Furthermore, as a QoL improvement, we also use Large models to generate creative and targeted captions for their posts that they can draw inspiration from. The future work for this project is to incorporate and research adversarial attacks for Geolocation models into the pipelines to make the posts even more secure. In summary, the main features of PrePost are: - Checks and flagging for possibly location-revealing clues in an uploaded image intended for Social media uploads - Suggestions for cool and targeted captions for the corresponding social media posts. Join the PrePost revolution and #ThinkBeforeYouPost.

Our innovative solution, powered by AI, revolutionizes social media content optimization for platforms such as Instagram, Twitter, YouTube, bloggers and podcasts. Leveraging the advanced capabilities of the Llama 2 model, we seamlessly generate hashtags for different social media posts, enhancing content discoverability. Recognizing the growing popularity of podcasts, we employ the state-of-the-art models, converting audio content into text transcripts. This integration enables podcasters to effortlessly refine their content for social sharing along with attention-grabbing descriptions and relevant hashtags. Moreover, we have incorporated the BLIP-2 model , enabling effortless conversion of images to text and extracting captivating captions. These captions are then enriched with platform-specific keywords and trending phrases, ensuring optimized engagement. We employed Open-CV framework model to process video files, transforming them into individual frames. These frames subsequently serve as inputs for the BLIP-2 and LLAMA2 model, enabling the generation of appropriate hashtags and meaningful captions. This innovation benefits both content-creators and users, as it facilitates efficient hashtag searches for desired content, enhancing the overall user experience. Overall, Experience a new era of content optimization where AI seamlessly transforms text, images, and audio into captivating social media posts, expanding reach, engagement, and impact across diverse platforms. Technical Aspects:- A web application has been built, employing AngularJS for the frontend and Flask for the backend. The application integrates Clarifai for hosting machine learning models, enabling advanced AI functions like image recognition and analysis. This fusion results in an engaging and intelligent user experience.

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