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03-11-2025 |
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CSE (AIML) |
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661404 |
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O+ |
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HINDUISM |
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NA |
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25-02-2008 |
| Teaching | Research | Industry |
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| 180 | 0 | 6 |
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| TRAINING AND PLACEMENT COORDINATOR_CSE(AIML) | 11-11-2025 | 03-06-2026 |
| Title | Patent Number | Patent Office | Date | Status | Country | Application No. | Abstract | Expiration Date |
|---|---|---|---|---|---|---|---|---|
| CYBER INTELLIGENCE SENSOR FOR DETECTING AND RESPONDING TO THREATS | 11/2026 | KOLKATA, Controller General of Patents, Designs and Trademarks | 13-03-2026 | PUBLISED | INDIA | 458001-001 | This is a design patent. So it is pure diagrammatic representation only. | 07-05-2035 |
| HYBRID OPTIMIZATION OF NEURAL NETWORKS A MULTIOBJECTIVE GENETIC APPROACH FOR ENHANCED CLASSIFICATION | LD-20250165359 | KOLKATA | 26-05-2025 | REGISTERED | INDIA | 33895/2024-CO/L | HYBRID OPTIMIZATION OF NEURAL NETWORKS A MULTIOBJECTIVE GENETIC APPROACH FOR ENHANCED CLASSIFICATION | 26-05-2050 |
| AI - Content Recommendation Integrated with Library Management System (LMS) | 21/2025 | KOLKATA | 23-05-2025 | PUBLISED | INDIA | 202531046207 A | The present invention relates to an AI-powered content recommendation system integrated with a library management system (LMS), designed to enhance user experience and streamline library operations. Built on the MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS), the system utilizes a content-based filtering algorithm that generates personalized book recommendations based on user preferences and behavioral data. Upon registration, users provide initial preferences—such as favorite genres, authors, and languages—which are used to overcome the cold-start problem and deliver relevant recommendations from the outset. The system continuously refines these suggestions through real-time user profiling and feedback analysis. The user interface is designed to limit decision fatigue by displaying a focused set of recommendations, while library administrators benefit from a comprehensive dashboard for managing inventory, monitoring usage analytics, and optimizing resource allocation. The integrated solution modernizes traditional library environments by promoting deeper engagement with reading materials, improving content discoverability, and enabling data-driven decision-making in library operations. | 23-05-2050 |
| An IoT-Driven Smart Cradle System for Modern Parenting | 21/2025 | KOLKATA | 23-05-2025 | PUBLISED | INDIA | 202531045910 A | The present invention relates to an IoT-driven smart cradle system designed to enhance infant care by integrating automated soothing mechanisms, real-time monitoring, and remote accessibility. The system includes a cradle equipped with motion, sound, and environmental sensors to monitor the baby’s movements, crying patterns, and room conditions. Based on the sensor data, the cradle autonomously activates soothing actions such as gentle rocking, playing lullabies, or adjusting the room’s temperature and humidity. Parents can remotely control and monitor the cradle through a mobile application, receiving real-time alerts and updates on their baby’s well-being. Safety features, such as obstruction detection and automatic motion cessation, are incorporated to ensure the baby’s safety. By combining automation, IoT connectivity, and user-friendly controls, the smart cradle system provides a responsive, efficient, and safe solution for modern parenting, reducing parental stress while ensuring the baby’s comfort and security. | 23-05-2050 |
| Culturally-Aware Adaptive Cybersecurity Framework for Marginalized Communities (CACF-MC) | 21/2025 | KOLKATA | 23-05-2025 | PUBLISED | INDIA | 202531045864 A | The present invention relates to a culturally-aware, adaptive cybersecurity framework (CACF-MC) designed to protect marginalized and digitally underserved communities from cybersecurity threats such as phishing, identity fraud, malware, and misinformation. The invention comprises a modular architecture that integrates a Lightweight AI Threat Detection Engine (LAI-TDE), a Culturally-Aware Privacy Education Interface (CAPEI), an Anonymous Digital Identity Vault (ADIV), a Community-Based Trust Network (CTN), and a Decentralized Ledger Backplane (DLB). These components collectively operate in both online and offline environments, leveraging edge computing, federated learning, multilingual interfaces, and decentralized identity standards to deliver inclusive, privacy-preserving, and context-sensitive cybersecurity. The framework emphasizes digital resilience, user autonomy, and compliance with data protection regulations, enabling secure digital participation for populations with limited connectivity, digital literacy, and formal identification credentials. | 23-05-2050 |
| IoT-Enabled Prison Break Detection and Alert System Using RF Technology | 20/2025 | KOLKATA | 16-05-2025 | PUBLISED | INDIA | 202531045539 A | The present invention relates to an IoT-enabled prison break detection and alert system utilizing RF communication technology to enhance correctional facility security. The system integrates a central microcontroller with a network of AI-powered surveillance cameras, infrared and motion sensors, and pressure-sensitive floor panels to monitor inmate activity in real time. A biometric authentication module, including facial recognition and fingerprint scanning, restricts access to secure zones. Upon detecting unauthorized movement or failed authentication attempts, the system automatically generates alerts that are transmitted via SMS, email, and mobile applications to designated security personnel. Simultaneously, an automated lockdown mechanism is triggered to seal all exits and prevent escape. Data from all sensors and events is logged and stored on a cloud-based server for post-incident analysis and security optimization. The system is modular, scalable, and compatible with existing prison infrastructure, providing a cost-effective and proactive solution to improve prison security and reduce reliance on manual surveillance | 16-05-2050 |
| Intelligent Skin Disease Diagnosis Using AI-Enhanced Dermatoscope | 15/2025 | KOLKATA | 11-04-2025 | PUBLISED | INDIA | 202531033781 A | The present invention relates to an AI-powered dermatoscope designed to enhance the diagnosis of skin diseases by integrating high-resolution imaging with advanced machine learning algorithms. The device captures detailed images of skin lesions, processes these images using AI to analyze features such as texture, color, and morphology, and provides real-time diagnostic results with confidence scores. The system includes a user interface for displaying the diagnostic output and treatment recommendations, as well as a connectivity module for seamless integration with cloud-based systems for data storage, remote diagnostics, and continuous AI model improvement. This AI-enhanced dermatoscope improves diagnostic accuracy, increases accessibility to dermatological care, and reduces reliance on specialist consultations, particularly in underserved or remote areas, offering a cost-effective solution to enhance patient outcomes and efficiency in skin disease diagnosis. | 11-04-2050 |
| Smart water management system for urban areas | 13/2025 | KOLKATA | 28-03-2025 | PUBLISED | INDIA | 202531009414 A | The Smart Water Management System (SWMS) is an innovative solution designed to optimize water distribution in urban areas facing water scarcity. By integrating Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) technologies, the system monitors real-time water flow, pressure, and quality through IoT sensors placed throughout the water distribution network. Using data from these sensors, weather forecasting APIs, and historical consumption patterns, the system predicts future water demand, detects anomalies such as leaks, and adjusts water flow through automated smart valves and pumps. This dynamic, real-time management ensures the efficient and equitable distribution of water resources, reduces wastage, and improves the sustainability of urban water systems. The system is adaptable, scalable, and capable of addressing the challenges of water management in rapidly growing urban environments | 28-03-2050 |
| Wearable IoT Device for Real-Time Monitoring and Early Detection of Brain Stroke Using Bio magnetic Sensors | 13/2025 | KOLKATA | 28-03-2025 | PUBLISED | INDIA | 202531026887 A | The invention provides a wearable IoT device for real-time monitoring and early detection of brain strokes using bio magnetic sensors. The device comprises a bio magnetic sensor array for detecting magnetic fields generated by neuronal activity, a signal processing unit to amplify and filter the sensor data, and an IoT module for transmitting the data to a cloud-based platform. A machine learning algorithm analyzes the data in real-time to identify abnormal patterns indicative of a stroke, triggering an alert system that notifies both the user and healthcare providers. This non-invasive, portable device offers continuous monitoring and enables timely intervention, overcoming the limitations of traditional diagnostic methods by providing a cost-effective and accessible solution for stroke detection. | 28-03-2050 |
| Advanced Drone Solutions for Precision Farming with IoT Connectivity | 13/2025 | KOLKATA | 28-03-2025 | PUBLISED | INDIA | 202531026945 A | The invention provides an IoT-enabled drone system for precision farming that integrates unmanned aerial vehicles (UAVs) with advanced sensors to monitor and analyze crop health, soil conditions, and environmental factors in real-time. The system utilizes wireless communication to transmit collected data to a centralized platform, where machine learning algorithms process the information and generate actionable insights. These insights help farmers make informed decisions regarding irrigation, fertilization, pest control, and harvesting, optimizing resource usage and enhancing crop yields. The system automates data collection, decision-making, and intervention recommendations, reducing labor costs, minimizing resource waste, and promoting sustainable farming practices. The invention offers a scalable solution applicable to farms of any size, contributing to more efficient and profitable agriculture. | 28-03-2050 |
| A New Technique for Attendance Management through Face Recognition | 12/2025 | KOLKATA | 21-03-2025 | PUBLISED | INDIA | 202531015266 A | In this pandemic, almost all the works are concluded from home in an online mode. All the schools, colleges, MNCs, offices, banks and many more workplaces are terminated to avoid gatherings. Apart from these, our India is going to become Digital India soon and so we need new technologies in every field possible. It has been difficult to manage the attendance of students and employees manually. Various issues like proxy or missing attendance have arisen. So, we have come up with an idea of making ‘Attendance Management System Through, Face Recognition’ which is going to solve the issue. We have done it possible by using the stacks IDLE python and XML. In the modern world when the education system is changing every day, it is a replacement of traditional methods and manual effort that will help to give more prominent results in less time. There are various biometric processes but face recognition is one of the best methods. With the help of a camera and face recognition system attendance is taken, as face is the identity of every human and in this system, machines will be able to identify the person by detecting face and attendance will be recorded. The system is easily operated and the accuracy level is better than manual Attendance System | 21-03-2050 |
| Intelligent Women’s Safety Monitoring and Intervention System Using AI-Driven Predictive Analytics | 11/2025 | KOLKATA | 14-03-2025 | PUBLISED | INDIA | 202531014805 A | The present invention relates to an Intelligent Women's Safety Monitoring and Intervention System that uses AI-driven predictive analytics to enhance personal safety. The system integrates a discreet wearable device, a mobile application, and an AI analytics engine to monitor real-time data, predict potential threats, and provide immediate intervention. The wearable device collects physiological and environmental data, while the mobile app serves as an interface for the user to manage safety settings and receive alerts. The AI engine analyzes user behavior, environmental factors, and historical data to proactively identify risks and initiate automated safety measures such as emergency notifications, location tracking, and communication with authorities. This system offers a comprehensive, proactive approach to protecting women from potential harm, ensuring timely responses and empowering users with greater control over their safety. | 14-03-2050 |
| Revolutionizing Smart Living: HomeSync's Bluetooth-Based Home Automation System | 10/2025 | KOLKATA | 07-03-2025 | PUBLISED | INDIA | 202531013320 A | The HomeSync system is a Bluetooth-based home automation solution that integrates a microcontroller platform with smart devices to provide users with a centralized control hub for managing their home environment. The system utilizes Bluetooth communication between a smartphone or tablet application and the microcontroller, enabling users to remotely monitor and control devices such as lights, thermostats, and security sensors. Through an intuitive mobile app, users can create automation routines, schedule device operations, and receive real-time status updates, enhancing convenience, energy efficiency, and security. Designed for scalability, HomeSync allows for future expansions, ensuring long-term compatibility with emerging smart home technologies. | 07-03-2050 |
| AI-Driven Crop Pricing Prediction Model | 09/2025 | KOLKATA | 28-02-2025 | PUBLISED | INDIA | 202531013007 A | The AI-Driven Crop Pricing Prediction Model is an advanced machine learning-based system designed to forecast crop prices by analyzing various factors such as weather conditions, market trends, demand-supply dynamics, and government policies. The model collects and preprocesses real-time data from diverse sources, including weather forecasts, agricultural market prices, and consumer demand indices. Using sophisticated algorithms like Long Short-Term Memory (LSTM) networks and ensemble learning, the system generates accurate, region-specific crop price predictions. The model provides farmers with actionable insights through a userfriendly interface, accessible via mobile applications and web dashboards, offering features like real-time alerts, optimal harvest timing, and price forecasts. By empowering farmers with precise, data-driven information, the model helps optimize their decisions on planting, harvesting, and selling crops, ultimately improving income stability and promoting sustainable agricultural practices. | 28-02-2050 |
| Smart energy harvesting window film | 07/2025 | KOLKATA | 14-02-2025 | PUBLISED | INDIA | 202531010629 A | The Smart Energy Harvesting Window Film is an innovative, multifunctional film designed to convert ordinary windows into energy-generating surfaces. The film integrates nano-photovoltaic cells that efficiently capture solar energy while maintaining transparency, allowing light to pass through without compromising visibility. Additionally, it features electrochromic materials that dynamically adjust the film's opacity based on sunlight intensity, reducing glare and heat to improve indoor comfort. The film includes integrated energy storage capabilities, such as micro-batteries or supercapacitors, to store excess energy for later use, and it is coated with a self-cleaning superhydrophobic layer to maintain performance. Compatible with IoT devices, the film can be controlled remotely via mobile apps or smart home systems for optimized energy management. This invention offers a sustainable, space-efficient, and aesthetically pleasing solution for reducing energy consumption, lowering costs, and enhancing comfort in residential, commercial, and automotive applications | 14-02-2050 |
| Enhanced Electromagnetic Field (EMF) Meter with GPS-Enabled Location Tracking, Mobile Connectivity, and Multi-Visit Comparative Analysis for Longitudinal Environmental Monitoring | 06/2025 | KOLKATA | 07-02-2025 | PUBLISED | INDIA | 202531007643 A | The invention relates to electromagnetic field (EMF) measurement devices, particularly an advanced EMF meter with integrated GPS for location tracking, mobile connectivity via Bluetooth, time-stamped recording capabilities, and multi-visit comparative analysis. The invention is intended to improve the precision, convenience, and data-sharing capabilities of EMF measurement, particularly useful in environmental safety, industrial monitoring, and research applications. | 07-02-2025 |
| Autonomous Fire Extinguisher Vehicle with Advanced Distance Measurement and Alarm System | 05/2025 | KOLKATA | 31-01-2025 | PUBLISED | INDIA | 202531004434 A | The present invention relates to an autonomous fire extinguisher vehicle designed to detect and suppress fires efficiently using an automated system. The vehicle is equipped with an Arduino microcontroller, flame and smoke sensors, an ultrasonic sensor for distance measurement, and a water pump controlled by a servo motor to direct a fire-suppressing agent toward the fire source. The system autonomously navigates the vehicle to the fire, adjusts the nozzle position based on the detected distance, and dispenses the agent accordingly. Additionally, a buzzer emits an alert to notify nearby individuals of the fire emergency. The vehicle offers a rapid, automated response to fire incidents, reducing the need for human intervention and enhancing safety, particularly in environments where quick action is essential. This invention provides an effective, reliable, and scalable solution for fire detection and suppression in various applications. | 31-01-2050 |
| Blockchain-based Decentralized Energy Trading Platform for Peer-to-Peer Solar Energy Exchange in India | 05/2025 | KOLKATA | 31-01-2025 | PUBLISED | INDIA | 202531004920 A | The present invention relates to a block chain-based decentralized energy trading platform designed to facilitate peer-to-peer (P2P) trading of solar energy between small-scale producers and local consumers. The platform leverages block chain technology to ensure secure, transparent, and immutable transactions, eliminating the need for traditional intermediaries. Energy produced by solar panels is tokenized into digital energy tokens, which represent a specified quantity of electricity, and these tokens can be traded in a decentralized marketplace. The system integrates smart contracts to automate energy trading transactions based on predefined conditions, enhancing efficiency and reducing errors. Additionally, surplus energy from producers can be fed back into the national grid, with real-time dynamic pricing optimizing compensation based on market conditions. The platform also supports the formation of energy-sharing communities, where members can collaboratively manage energy production and consumption. A carbon credit mechanism incentivizes renewable energy production, promoting environmental sustainability. The system provides an efficient, secure, and equitable solution for energy trading, contributing to a more decentralized, sustainable energy future. | 31-01-2025 |
| Neural Interface for Emotional State Sharing | 05/2025 | KOLKATA | 31-01-2025 | PUBLISED | INDIA | 202531004926 A | The present invention relates to a neural interface device and method for detecting, transmitting, and sharing emotional states between individuals in real time. The device comprises a wearable neural interface that includes sensors for detecting brain activity associated with various emotional states, such as happiness, sadness, stress, or calm. The detected neural signals are processed using advanced signal processing algorithms to decode the emotional state, which is then transmitted securely to a recipient’s device. The recipient’s device decodes and presents the emotional data through visual, auditory, or haptic feedback, enabling the recipient to experience the sender's emotional state directly. This invention enhances emotional communication by providing a more immediate, accurate, and immersive way of sharing feelings compared to traditional verbal or written methods. It has applications in various domains, including personal relationships, therapeutic settings, and professional environments, improving empathy, emotional understanding, and interpersonal connections | 31-01-2050 |
| AI-Enhanced Chemical Sensor System for Real-Time Environmental Monitoring | 05/2025 | KOLKATA | 31-01-2025 | PUBLISED | INDIA | 202531005598 A | The AI-Enhanced Chemical Sensor System for Real-Time Environmental Monitoring integrates a chemical sensor array to detect multiple environmental parameters, such as air quality, water pollutants, and greenhouse gases, with high sensitivity and accuracy. It features an AI-driven analysis engine for real-time data processing, predictive analytics, and actionable insights. Designed for energy efficiency, it is suitable for deployment in diverse environments, including urban, industrial, and rural settings. The system also offers wireless connectivity for remote monitoring and seamless integration with IoT ecosystems, providing a transformative approach to environmental monitoring and enabling informed decision-making to mitigate environmental risks. | 31-01-2025 |
| Tumour detection using deep learning | 03/2025 | KOLKATA | 17-01-2025 | PUBLISED | INDIA | 202531002580 A | The present invention relates to an intelligent system for automated tumour detection and classification in medical images using deep learning techniques, specifically Convolutional Neural Networks (CNNs). The system processes imaging data from various medical modalities such as MRI, CT scans, and X-rays, detecting and classifying tumours based on their size, shape, texture, and other features. In addition to tumour detection, the system integrates a facial expression recognition module to assess the mental health status of the patient by detecting signs of stress, anxiety, or depression. This dual approach provides healthcare professionals with a comprehensive understanding of both the physical and psychological aspects of the patient’s health. The system offers high diagnostic accuracy, reduces human error, enhances clinical workflow efficiency, and aids in the development of personalized treatment plans, ultimately improving patient outcomes. | 17-01-2050 |
| Title of the invention : Design and model of wireless image detection and obstacle detection Robot using Arduino UNO and ESP32 cam | 47/2024 | KOLKATA | 22-11-2024 | PUBLISED | INDIA | 202431087358 A | This invention relates to an autonomous robotic system designed for wireless image detection and obstacle avoidance, using an Arduino Uno microcontroller, ESP32- CAM module, and ultrasonic sensor. The robot is capable of navigating independently, capturing real-time images, and transmitting them wirelessly to a remote device. Equipped with an ultrasonic sensor, the robot detects obstacles, allowing it to adjust its path or stop to avoid collisions. The ESP32-CAM module enables real-time monitoring by transmitting visual data to a remote system, making it suitable for applications in surveillance, security, and exploration in challenging environments. With a cost-effective design and modular architecture, this system offers an affordable solution for remote monitoring and autonomous navigation, providing reliable performance in various high-risk or inaccessible areas, such as forests, remote terrains, or hazardous zones. | 22-11-2050 |
| Smart IoT Platform for Real-Time Monitoring and Optimization of Pain Relief in Cancer Patients | 47/2024 | KOLKATA | 22-11-2024 | PUBLISED | INDIA | 202431087303 A | This invention presents an advanced IoT-based system for continuous, real-time monitoring and optimization of cancer pain management, integrating wearable devices, cloud computing, and AI-driven analytics. The system tracks key physiological and psychological metrics such as heart rate, body temperature, respiratory rate, and skin conductance, enabling personalized, anticipatory pain management. Data collected from wearable is sent to a cloud server, where machine learning algorithms analyze it to predict pain episodes, inform treatment decisions, and optimize medication dosages. Patients can actively engage with the system through a patient portal to report symptoms and receive personalized recommendations, while healthcare providers can remotely monitor patient data via a dashboard, making real-time adjustments to care plans. This continuous, data-driven approach reduces the risks of over-treatment or under-treatment, prevents pain escalation, and significantly enhances the quality of life for cancer patients by providing timely, individualized pain relief. | 22-11-2050 |
| AI based smart agriculture monitoring and advisory system | 46/2024 | KOLKATA | 15-11-2024 | PUBLISED | INDIA | 202431086598 A | The AI-based Smart Agriculture Monitoring and Advisory System is an advanced technology designed to enhance agricultural practices by integrating Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms. This system collects real-time data from a network of IoT sensors deployed across agricultural fields to monitor key agronomic parameters such as soil moisture, temperature, humidity, crop health, and pest activity. The data is transmitted to a cloud-based platform where AI algorithms analyze it to generate actionable insights and provide farmers with personalized recommendations for irrigation, pest management, disease detection, and crop growth optimization. The system includes a user-friendly interface accessible via web or mobile applications, offering real-time updates, alerts, and dynamic decision support. By leveraging data-driven insights, the system helps farmers optimize resource usage, improve crop productivity, and adopt sustainable farming practices, making it an essential tool for modern, precision agriculture. | 15-11-2050 |
| Advanced Cybersecurity System for Real-time Threat Detection and Mitigation | 40/2024 | KOLKATA | 04-10-2024 | PUBLISED | INDIA | 202431073335 A | By combining blockchain, artificial intelligence, and machine learning, this cutting-edge cybersecurity system is designed to detect and mitigate threats in real-time. It has an integrated architecture made to provide all-around defence against complex cyberattacks. Machine learning techniques underpin the system's threat detection capabilities, facilitating the quick identification of anomalies and possible threats. In addition, the threat analysis module enhances the system's comprehension and reaction to intricate attack vectors by utilizing artificial intelligence to deliver comprehensive assessments and insights into these threats. By combining blockchain, artificial intelligence, and machine learning, this cutting-edge cybersecurity system is designed to detect and mitigate threats in real-time. It has an integrated architecture made to provide all-around defence against complex cyberattacks. Machine learning techniques underpin the system's threat detection capabilities, facilitating the quick identification of anomalies and possible threats. In addition, the threat analysis module enhances the system's comprehension and reaction to intricate attack vectors by utilizing artificial intelligence to deliver comprehensive assessments and insights into these threats. | 04-10-2050 |
| Advanced Fraud Detection System for Financial Transactions Using Machine Learning Algorithms | 35/2024 | KOLKATA | 30-08-2024 | PUBLISED | INDIA | 202431063441 A | The invention relates to an advanced fraud detection system for financial transactions that leverages machine learning algorithms to enhance accuracy and adaptability. The system includes a data preprocessing module that cleanses, normalizes, and enriches transactional data with contextual information. It utilizes a feature engineering and selection module to extract and optimize relevant features from the data. The core of the system comprises an ensemble of machine learning models, including logistic regression, support vector machines (SVM), decision trees, random forests, gradient boosting machines (GBM), and deep neural networks, to detect fraudulent activities. The system features real-time monitoring and adaptive learning capabilities, continuously updating models to respond to emerging fraud patterns. An anomaly detection and alerting mechanism is also included, which flags potentially fraudulent transactions and triggers configurable alerts for further investigation. This comprehensive approach provides a robust and dynamic solution for identifying and mitigating financial fraud. | 11-11-2050 |