Jam.dev’s Post

As the Thanksgiving holiday approaches us, we're utilizing some of this extra time with our engineering team at Map My Customers to partake in a 3-day AI hackathon 🦃 🤖 SO excited to see what our teams come up with. We've already received a TON of really novel proposals by several folks on the team, with a couple of the ideas bringing immediate value to our sales reps in the field. A couple examples i'm most excited about: 🗣 Fully voice-activated commands to do everyday tasks in our app (like log activities and open routes) 💸 Predicting the incremental likelihood of an account to buy based on previous sales and activity information

🖼️At last weekend's Hackathon, John Breslin explored the origins and development of DeOldify, a tool that leverages AI to breathe new life into old photographs. ⚙️John discussed how this technology combines AI with meticulous manual work to achieve accurate and vivid results. The process involves not only technical expertise but also extensive research into historical details to ensure authenticity and accuracy. 👉Read more from Data2Sustain's article here: https://bit.ly/3L1KPDr

We recently launched a blog post about MapLibs, our new app created for Demo Daze, Safe Software’s annual hackathon! MapLibs uses the FME Platform and generative AI to create fun, topic-based stories. Inspired by MadLibs, players fill in the blanks with different words, resulting in hilarious tales ✏️ Check out our blog to learn more and join the fun – fme.ly/bx4

How's your AI agent coming along? 🧑💻 Time's ticking, but it's not too late to jump into the MindsDB Hackathon and compete for the chance to win up to $5K! 💰 Find out how to get in on the action → https://hshno.de/mindsdb

Excited to share a glimpse of my machine learning journey! Developed a regression model predicting car prices and deployed it using Flask during the AI AMITx ODC Hackathon. Check out the video for a quick peek into the project

I'm delighted to share a recent achievement. I participated in Tunga AI hackathon with the theme "AI Solutions That Help Developers Code Better." Working in a team, we successfully developed an AI system that personalizes code reviews, assigns scores, handles test cases, and aids in debugging. Our solution is designed for operations within both the command-line interface (CLI) and a website hosted on Streamlit.

Looking forward to showcasing Cloudera at the #AWSSummit. As a Global Amazon Web Services (AWS) Partner here are some of our partnership highlights: - Rapidly deploy Cloudera Data Platform on AWS Marketplace - Tight integration with AWS resources - Provides elasticity, agility, and ease of use for hybrid and public cloud by intelligently autoscaling workloads up and down for more cost-effective use of cloud infrastructure. Consistent user experience makes it faster and easier to analyze data. - Optimizes the data lifecycle with multi-function analytics that solves demanding business use cases with 3 primary services (Streaming Analytics, Data Warehouse, and Machine Learning) and additional, secondary services. All with a cloud-native, self-service user experience. - Ensures all workloads on the platform share common security, governance, and metadata. Users can efficiently find, curate, and share data, enabling self-service access to trusted data and analytics. #AWS #Hybrid #Cloud #Partnership #Data #AI #ML

📹 Fresh video! How would you describe AI4Life in one word? Hear it from our amazing participants of the recent Hackathon & Solvathon. Watch it now: https://lnkd.in/eWNsMyp5

Ever find yourself needing an AI to double-check your speeches because your mirror doesn’t give you any feedback? Well, we’ve got you covered! We’re excited to share our latest Hackathon project from last week at Headstarter. Introducing 𝗼𝘂𝗿 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘃𝗼𝗶𝗰𝗲 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝗿! This tool takes an 𝗮𝘂𝗱𝗶𝗼 𝗳𝗶𝗹𝗲 and uses the power of AssemblyAI to evaluate the confidence level of each sentence on a scale from zero to one, categorizing them as positive, negative, or neutral. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝘂𝘀𝗲𝗱: 1. 𝗔𝘀𝘀𝗲𝗺𝗯𝗹𝘆 𝗔𝗜: Voice Analysis 2. 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟: Hosted on railway.app to record analysis statistics. 3. 𝗗𝗷𝗮𝗻𝗴𝗼: Backend Web Services. 4. 𝗛𝗧𝗠𝗟 , 𝗖𝗦𝗦, 𝗮𝗻𝗱 𝗝𝗦: Interface. 5. 𝗥𝗮𝗶𝗹𝘄𝗮𝘆.𝗮𝗽𝗽: Deployment. Big thanks to the team Sunny Andani, Syed Muhammad Huzaifa, and Khadija Haider for their contributions! 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝘄𝗲𝗯𝘀𝗶𝘁𝗲: https://lnkd.in/daWiWm8y 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝘃𝗶𝗱𝗲𝗼 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: PS: Watch it on 1.5x, I am not good at demonstrating myself :)

Hi Everyone, I too am participating in this hackathon, with Avi. Thrilled to share our progress! Just finished creating the Retrieval Augmented Generation (RAG) model, and now we're diving headfirst into crafting the app that will bring this innovative technology to life! Harnessing the power of cutting-edge vector databases (MongoDB and Couchbase), embeddings, and generative AI, our team is on a mission to revolutionize content creation and retrieval. With the RAG model at the core, users will experience a seamless blend of efficient data retrieval and personalized content. Stay tuned for more updates as we race against the clock to build an app that pushes the boundaries of personlization with AI and databases.💡💻 #Hackathon #RAGModel #AI #DatabaseInnovation"