Managing large volumes of customer emails in SaaS environments presents a unique AI challenge. Here’s how we approached it: 1. NLP for Categorization: Emails are classified into predefined groups like billing or technical support using transformer-based models (e.g., BERT). 2. Intent Detection: The system identifies the query's purpose (e.g., refunds or API setup) and matches it with relevant responses. 3. Semantic Search: Dynamic knowledge base integration retrieves the most accurate answers, using embeddings for precise matching. 4. Reinforcement Learning: Feedback from edge cases helps the system improve continuously by learning from real-world interactions. It’s a great example of blending supervised learning, semantic search, and feedback loops to streamline workflows. Would love to hear how others in the community are applying AI to similar problems—what tools or techniques have worked best for you?

A client came to me with a unique challenge: they wanted a system where, every time an order was placed, logos would automatically be generated in Google Drive based on the quantity ordered. These logos would then be ready for immediate printing. I created a seamless solution that connects orders to Google Drive, ensuring the exact number of logos is generated, perfectly organized and ready to go—saving them hours of manual effort and avoiding errors. If you want to automate your business or are looking for a developer, please book a meeting with me to discuss it: https://cal.com/tanmayjundare/30min

I created this with just a few clicks, using only a 30-second video to train the model. The result? A clone that looks incredibly realistic! For the parts where the AI might look slightly off, we simply add a frame or edit it to ensure better retention and a more polished final video. I've attached the raw, unedited video here so you can see exactly how it looks. Let me know what you think!

I'm working on a new website design, and I’d love to get your feedback! Here’s what I design

Build the Visual Avatar: We start with Heygen, training an avatar on a video of the client with at least four different angles, so it looks and moves naturally. Train the Voice: Using ElevenLabs, we create a custom voice model based on the client’s recordings or written documents, capturing their unique tone. Generate Content: We use GPTs trained on the client’s expertise and speaking style to produce content that sounds just like them. Refine the Video: We review and edit the video to remove any AI artifacts, adding minor adjustments to make it look as real as possible. Align with Client’s Insights: We consult with the client for input on the content topics and direction to ensure it fully represents them. If anyone knows anybody that we can help to or have clients that this can help them please let me know I love to collaborate