Non Custodial Crypto Wallet with Crypto Debit Card

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Plutope Wallet is a cutting-edge, non-custodial cryptocurrency wallet that gives users full control over their digital assets. It supports a variety of blockchain networks, including Ethereum, BNB Smart Chain, OKEx, Bitcoin, TRON, and Polygon, allowing for versatile management of crypto portfolios. With the integration of a crypto debit card, Plutope makes it easy to spend digital currencies in the real world. The wallet emphasizes security through top-tier encryption, an open-source codebase, and strategic partnerships with financial service providers to enhance the overall user experience.

SEM Layer 1 Blockchain - L1 Chain

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The SEM L1 Chain Solution has been designed to create a robust, secure, and scalable blockchain network from the very beginning. It starts with a Single Node Setup to ensure stability and gradually transitions into a decentralized ecosystem supported by Layer 1 (L1) and Layer 2 (L2) validators. This architecture enables governance through Decentralized Autonomous Organizations (DAOs), combining automation with human oversight to ensure that blockchain operations are secure, reliable, and efficient.

Textile ERP

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The Textile ERP System Platform is designed to simplify operations for textile and garment manufacturers, covering everything from the management of raw materials to finished products, sales, and accounting. It brings together various modules into a single centralized platform, offering comprehensive control over inventory, sales, production, accounting, and reporting.

HRMS Platform

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The Platform HRMS is crafted to transform human resource management by automating and streamlining workforce operations. It centralizes duty charts, attendance tracking, leave management, and performance evaluations, ensuring efficiency, transparency, and improved decision-making. The platform empowers HR managers, administrators, and employees with personalized profiles, real-time notifications, and AI-driven performance analytics, promoting a more organized and productive work environment.

Shipping Management Platform

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Shipping Platform has been developed to modernize and simplify shipping operations, covering everything from barge management and warehouse tracking to order processing and expense management.

Ayodhyaverse Immersive Metaverse Platform

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AyodhyaVerse is an engaging digital representation of Ayodhya, merging technology with cultural heritage. It provides users with a distinctive chance to explore the city’s famous landmarks, sacred temples, and historical sites through an interactive metaverse experience. The platform seeks to preserve cultural heritage, enhance global accessibility to Ayodhya, and offer an inclusive and captivating virtual pilgrimage, bringing the essence of Ayodhya to a worldwide audience.

SEM Metaverse

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The SEM Metaverse Experience offers an immersive virtual reality (VR) journey designed to provide users with an interactive and engaging environment. By utilizing the latest technology, this experience presents a vibrant digital landscape where users can explore, socialise, and interact with others. Participants can freely navigate the surroundings while engaging in voice conversations with fellow users. The experience is organised into various phases, each with specific objectives that enhance user immersion.

Mealord Food Delivery App

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Mealord is a user-friendly mobile app made to change the way people enjoy food. It connects food lovers with a wide range of restaurants, making it easy to explore different cuisines. With Mealord, users can check out detailed menus, customize their orders just the way they like, and place them quickly with just a few taps. The app also offers live order tracking, safe payment options, and exciting rewards. Mealord makes food ordering faster, smoother, and more enjoyable for everyone.

Cinema Ticket Booking Platform with Ecommerce Platform

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Cinema Platform is designed to change the way people book movie tickets by offering a smart, easy-to-use mobile app. It includes features like sharing options, smart movie suggestions, and a smooth booking process to make things convenient for users. For cinema owners, it provides a powerful backend system to manage movie listings, memberships, and loyalty programs. The app also gives movie suggestions based on the user’s location and past bookings, creating a hassle-free and enjoyable experience for both users and admins.

News Capital OTT Platform

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In today’s fast-changing digital world, traditional TV is finding it hard to match the way people now prefer to watch content. To solve this, we created a powerful OTT mobile app called News Capital, which gives users smooth access to live news, updates, and content sorted by categories—right on their smartphones. After seeing great results, we expanded the platform to Android TV, building a complete OTT experience for bigger screens. The mobile app offers a user-friendly design, smooth navigation, interactive features like voting and reactions, and top-quality video playback—making news watching more engaging and accessible for everyone.

AI Interviewer

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The AI Interviewer is an automated system designed to conduct technical interviews through AI-powered, two-way conversations with live camera access. It replicates human-led interviews by enabling natural dialogue, monitoring non-verbal cues, and providing real-time feedback in an immersive environment. By integrating AI, the solution makes recruitment faster and more consistent, offering unbiased assessments while enhancing candidate experience and reducing recruiter workload. Built using Python, LiveKit, GenAI, and Beyond Presence, it supports real-time video communication, speech and sentiment analysis, and secure camera access with encrypted streams and user consent mechanisms.

AI X Assessment

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AI X Assessment is an AI-enabled platform designed to automate candidate and student evaluations using data-driven assessment methods. It analyzes technical and conceptual responses through AI-powered models and natural language processing, assigning skill-based scores based on predefined benchmarks. The platform generates structured reports highlighting strengths and improvement areas, ensuring standardized, accurate, and unbiased evaluation outcomes. By replacing manual grading, it improves consistency, reduces time consumption, and enables scalable assessments. Key features include automated response evaluation, skill-based scoring, structured feedback reports, centralized data storage, and an analytics dashboard for performance insights. Built using Python, React, and GenAI, the system delivers intelligent, consistent, and data-driven assessment solutions.

AI-Based Granth & Video Knowledge Retrieval System

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The AI-Based Granth & Video Knowledge Retrieval System is an AI-enabled platform designed to convert long-form video content into structured, searchable knowledge. It transcribes video audio into accurate text, transforms it into an indexed knowledge base, and delivers context-aware answers using Retrieval-Augmented Generation (RAG). The system identifies relevant video segments and automatically generates short clips, enabling efficient content reuse and improved accessibility. It addresses challenges such as limited searchability, high time consumption, and low reusability of long video content. Key features include AI-based transcription, contextual question answering, intelligent search, scalable knowledge base support, and automated clip generation. Built using Python, MongoDB, and GenAI, the platform enables faster content discovery and intelligent video understanding.

AI-Powered SOW & Proposal Generator

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The AI-Powered SOW & Proposal Generator is an AI-enabled platform designed to automate the creation of Statements of Work, proposals, and client-ready deliverables. It converts simple natural-language requirements into structured SOWs, proposals, and presentation-ready documents using generative AI and NLP. The platform provides live frontend previews and instant deployment capabilities, enabling sales teams to demonstrate solutions quickly and confidently. It reduces technical dependency, minimizes pre-sales delays, and streamlines document creation through AI-driven automation. Key features include AI-based document generation, live frontend preview, iterative editing support, instant deployment, and automated workflows. Built using Python, React, and GenAI, the solution improves sales efficiency, accelerates demos, and supports faster deal closures.

Auto Prediction System

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The Prediction System is an AI-enabled platform designed to forecast football match outcomes using historical data and performance metrics. By applying statistical modeling and machine learning techniques, the system analyzes match results, team form, and player performance indicators to generate reliable outcome forecasts. The platform provides probability-based insights for different match scenarios, supporting data-driven decision-making instead of intuition-based predictions. It addresses challenges such as complex performance factors, limited statistical analysis, and scalability issues in traditional forecasting methods. Key features include historical data analysis, probability-based predictions, automated feature engineering, model performance evaluation, and a visualization dashboard for trend insights. Built using Python, Machine Learning, Node.js, Agentic AI, and related technologies, the system improves prediction accuracy and delivers transparent, data-driven sports insights.

Face & QR Detection System

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The Face & QR Detection System is an AI-enabled computer vision platform designed for real-time identity verification through face detection and QR code scanning. It processes images and live video streams to accurately identify faces and decode QR data using advanced image processing techniques. The system addresses challenges such as manual verification delays, limited real-time capability, and integration barriers in traditional access systems. It supports seamless API integration with existing applications, enabling automated monitoring, verification, and access control workflows. Key features include real-time detection, multi-source support, automated QR decoding, high-accuracy models, and integration-ready APIs. Built using Python and OpenCV, the solution improves verification speed, accuracy, and system integration.

HR Chatbot

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The HR Chatbot is an AI-enabled interview platform designed to automate candidate screening through conversational AI-based interviews. It conducts structured, role-specific interviews using an intelligent chatbot and evaluates responses using predefined criteria through natural language processing. The platform generates concise interview summaries and performance insights, enabling recruiters to make faster and more informed hiring decisions. It addresses challenges such as high manual effort, inconsistent evaluation standards, and scalability issues in traditional screening processes. Key features include AI-based interviewing, role-specific questioning, automated evaluation, interview summary reports, and a centralized candidate database for secure data management. Built using Python and GenAI, the solution delivers faster screening, consistent assessments, and improved hiring efficiency.

Human Pose-Based Body Part Detection

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The Human Pose-Based Body Part Detection system is an AI-powered video processing platform designed to detect human poses and label body parts using computer vision. It analyzes human movement and identifies major body regions such as arms, legs, torso, and head through deep learning–based pose estimation. Built using YOLOv8 Pose models and OpenCV, the system delivers accurate keypoint detection, intelligent body part segmentation, and real-time visualization. It supports structured labeling, rotated bounding boxes aligned with limb orientation, and smart label placement for clear and readable outputs. The platform includes a web-based interface using Flask, allowing users to upload videos, view processed results, and access annotated outputs in real time. Developed with Python, Flask, and YOLO, the solution improves motion analysis accuracy, enables real-time visualization, and supports scalable implementation.

Intelligent Object Detection

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The Human Pose-Based Body Part Detection system is an AI-powered platform designed to detect human poses and label body parts using computer vision and deep learning. It analyzes video inputs to identify key body regions such as arms, legs, torso, and head with high accuracy. Developed using YOLOv8 Pose models and intelligent bounding box generation techniques, the system performs pose estimation, keypoint validation, body part detection, and real-time visualization. It also features rotated bounding boxes aligned with limb orientation and smart label placement for clear, structured outputs. The platform includes a web-based interface built with Flask, allowing users to upload videos, view processed results, and access annotated outputs in real time. Built using Python, Flask, and YOLO, the solution improves motion analysis accuracy, enables real-time analysis, and supports scalable implementation.

Productivity Analyzer

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The Productivity Analyzer is an AI-powered system designed to analyze facial expressions and convert emotional insights into measurable productivity intelligence. It recognizes faces, detects emotions, and evaluates engagement, focus, and performance using deep learning and computer vision. Developed with facial recognition and real-time analysis frameworks, the system performs face detection, emotion recognition, facial landmark analysis, productivity prediction, and annotated output generation. It also supports pose-based activity tracking to evaluate work patterns. Key features include real-time processing, face detection and analysis, productivity measurement, and behavioral monitoring. Built using Python, Flask, and YOLO, the solution improves productivity insights, enables real-time monitoring, and delivers behavioral analytics.

Solar Panel Detection

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The Solar Panel Detection system is an AI-powered solution designed to automatically identify rooftop solar panels using high-resolution satellite imagery from Google Earth. It leverages computer vision and deep learning to analyze large volumes of geospatial data and distinguish solar panels from other rooftop structures. Developed using AI-driven image analysis and geospatial processing techniques, the platform performs data collection, image preprocessing, model training, inference, result aggregation, and visualization. It generates region-wise adoption maps and statistical reports to support renewable energy monitoring and planning. Key features include AI-powered detection, automated image processing, accurate classification, large-scale analysis across cities and districts, and region-wise insights. Built using Python, OpenCV, Machine Learning, and YOLO, the solution reduces manual survey costs and enables scalable energy planning.

Talking AI Avatar System

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The Talking AI Avatar System is an AI-powered platform designed to create human-like digital presenters using synchronized speech and facial animations. It delivers interactive and visually engaging experiences through AI-driven avatars for business and educational use cases. Built using AI-driven speech synthesis and facial animation technologies, the system performs content generation, speech synthesis, lip-sync processing, facial animation, avatar rendering, and content delivery. It supports both real-time and recorded presentations, enabling scalable and reusable visual content. Key features include AI-powered speech generation, realistic facial animation, customizable avatars, scalable content creation, and real-time or pre-rendered output. Developed using Python, GenAI, and advanced animation frameworks, the solution enhances engagement, scalability, and content reusability.