Founder & CEO - Pulse AI

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github

Sai Mukkamala  • Peerlist

Pulse AI is a revolutionary AI phone agent designed specifically for restaurants, ensuring that no call goes unanswered and no revenue is lost. Trusted by over 100 restaurants, Pulse AI helps the average restaurant recover six figures annually by answering every call with precision and efficiency. Key features include seamless POS integration, which allows orders to be sent directly to your system, eliminating manual input and reducing errors. Restaurants can experience a 3X increase in delivery revenue and save an average of $9051 per month. <ul><li>24/7 Availability: Pulse AI operates around the clock, ensuring that customer calls are answered instantly without wait times.</li><li>Secure Phone Payments: Processes payments over the phone using fully PCI-compliant systems, removing the need for staff involvement.</li><li>Multilingual Support: Handles inquiries in over 10 languages, providing accurate and friendly responses.</li><li>Live Metrics View: Offers real-time visibility into calls, orders, and revenue recovery through an intuitive dashboard.</li><li>Reservations &amp; Event Management: Automatically books tables and manages group reservations, directing special event calls to the appropriate staff member.</li></ul> Pulse AI is built to work like ten employees, handling phones with speed, memory, and perfect accuracy. By integrating advanced conversational AI with seamless POS integration, Pulse AI represents a breakthrough in restaurant operations technology, allowing staff to focus on in-person customers while the AI handles phone orders. This innovative solution not only enhances customer service but also significantly boosts revenue by suggesting menu pairings to increase order value.

Pulse AI - AI Phone Agent for Restaurants

A streamlit based web app which will allow it's users to go through each and every layer of CNN model ( default as well as custom ) and will show the how each image looks after passing through different layers. this project will help us to learn CNN in fun way. This will help us to understand how CNN see and highlight/extract features from an Image.

CNN Visualizer

I have worked on and created a repo for simple and effective explanation of all popular deep learning algorithms with relevant project for each.

Deep Learning Repo

A driver drowsiness detection system using Convolutional Neural Networks (CNN). Our system uses deep learning algorithms to analyze the driver's facial features and detect signs of drowsiness, such as yawning or drooping eyelids. When the system detects drowsiness, it triggers an alarm sound to alert the driver and prevent potential accidents caused by fatigue. Our project is designed to enhance road safety and provide a reliable solution to reduce the risks associated with driving while drowsy. We believe that our project has the potential to make a significant impact on road safety and improve the lives of drivers everywhere. Our team is committed to continuing to refine and improve this technology to make it even more effective in the future.

Driver Drowsiness Detection

An emotion-based music player that uses Convolutional Neural Networks (CNN) to detect the user's emotions from a camera feed and plays songs accordingly. Our system utilizes cutting-edge AI algorithms to analyze facial expressions and detect emotional states such as happiness, sadness, or excitement. With this technology, our music player can create a personalized music experience tailored to each user's mood. Whether you need a pick-me-up after a long day or want to unwind with some soothing tunes, our system has got you covered. I believe that it has the potential to revolutionize the way we interact with music. By leveraging the power of AI, we can create a more immersive and engaging experience that is tailored to each individual user. We are excited to share this project with the world and look forward to seeing how it will impact the music industry in the years to come.

Emotion Based Music Player

Developed a Streamlit application using the Stable Diffusion model to transform user-provided stories into visually captivating graphic novels. This project showcases the usage of integrating generative AI with user inputs to create personalized, high-quality visual narratives.

Graphic Novel Garage

A streamlit based web application in which user can upload image and the caption will be generated for that image.

Image caption generator

I have worked on and created a repo for simple and effective explanation of all machine learning algorithms with relevant project for each.

Machine Learning Repo

AI tool that converts research papers into podcasts ● Built an end-to-end system that extracts key ideas from academic papers and turns them into conversational podcast episodes using GPT-4o-mini and custom TTS models ● Processed 50+ papers and reduced conversion time by 20% through model and pipeline optimization

Paper Pulse AI

Engineered an AI-driven platform for pet healthcare using the open-source LLM - Llama2 7b model. Integrated within a Streamlit interface, PawsibleCare AI offers real-time, personalized veterinary advice, making quality pet care accessible and convenient.

PawsibleCare AI

I has developed a cutting-edge application that utilizes Convolutional Neural Networks (CNN) to detect various types of plant leaf diseases. Once the disease is detected, the app provides detailed information on the cause of the disease and steps to prevent it in the future. Additionally, our app recommends a specific pesticide to address the issue, complete with an image of the product and a link to purchase it. Our technology not only assists farmers and gardeners in identifying plant diseases quickly and accurately, but it also offers practical solutions for disease prevention and treatment. With our app, you can proactively protect your plants and ensure their long-term health.

Plant Disease Detection

I developed a neural network that can generate the poetry using RNN Technique.

Poetry Generator

Created an interactive Streamlit application powered by generative AI to automatically generate quizzes based on user-defined topics. This project highlights usage of leveraging AI to design and develop dynamic, personalized educational tools that enhance learning experiences.

Quiz Crafter

I used RNN/LSTM Technique to classify whether the given text is sarcastic or not.

Sarcasm Classifier.

I used Telegram bot service to Deploy Neural Network based Image classifier.

Telegram AI Image Classifier Bot

As part of my research, I started & stillworking on deep learning techniques to predict the future weather using Image data.