Case Study
Algo-trading AI software forecasts the share market movements by analyzing time series data using deep learning technique. It enables ML models to create the automated strategies that will generate buy or sell signal for the given share.
AI system predicts the well-being score of students by analysing various surveys, insights from their study, no of times students take support, etc.
Monitor employee activities such as stocking, cleaning, customer serving, etc from the live camera feed. The system generates productivity reports of employees by analyzing how much time they have spent on each activity.
We have developed software using Augmented Reality that reflects different designs of floor tiles on the user’s device in a few simple steps replacing the traditional trial and error method.
IoT device consists of raspberry pi and a camera, detect the human fall in real-time. It helps family members to get the alert when a loved one has fallen down.
Educational purpose AI system prepares the question bank from the given text of a paragraph. The form of input text can be extracted from image, video and speech.
Recommendation Engine, catering to the real-estate portal that helped users to find best property based on their taste and requirements.
Efficient Query Handling and Informed Product Recommendations
Linesense is a cutting-edge AI-driven video analytics solution crafted by Tech Mahindra to streamline assembly line operations. Continuous monitoring of each workstation with video feeds analyzed by a neural engine offers precise, unbiased data on time and motion.
Safety+ is a next-generation safety ecosystem designed to offer scalable, rapid implementation at a low cost. Leveraging Forwood’s proprietary low-code platform, Safety+ integrates essential tools to enhance safety management across industries.
Our advanced image recognition services offers a revolutionary approach to retail management, significantly enhancing store efficiency and driving business growth.
Our project focuses on enhancing a product with advanced AI features, including integrating video transcription capabilities to generate comprehensive summaries, titles, and chapter names with timestamps from video content.
The project involves developing a voice bot to streamline new patient onboarding and appointment scheduling. This solution will utilize Dialogflow CX for natural language understanding, Twilio for handling inbound calls, OnSched API for managing appointments, and AWS ElasticSearch for data management.
This Solution addresses this challenge by automating the analysis of user feedback from JSON files. We focus on two key areas: summarizing rating-based comments and performing sentiment analysis on simpler comments.
AI-powered chatbot using GCP Chat Bison and integrated it with a custom knowledge base stored in a vector database. Deployed on Google Cloud Run with Docker images from Artifact Registry, the chatbot provides efficient client service by handling queries, error logs, and FAQs.
