Centurion Technology Innovation

📌 Overview: Traditional vending machines lack real-time monitoring, cashless convenience, and inventory intelligence, leading to stock-outs, losses, and poor user experience. A Smart Vending Machine integrates digital payment and monitoring to improve accessibility, efficiency, and reliability. It addresses the growing demand for automated, contactless services in campuses, offices, hospitals, and public spaces.

🎯 Objectives: Enable cashless and contactless purchasing for user convenience

⚙ Methodology: he project uses embedded control, sensors, and connectivity to automate product dispensing and track inventory. Digital payment integration and a simple monitoring dashboard are employed to manage transactions and machine health. The system is designed for ease of use, reliability, and scalability.

✅ Key Outcomes: Functional smart vending machine prototype with cashless payment.

🌍 Impact: Academically, the project enhances hands-on learning in IoT and automation. Societally and industrially, it supports hygienic, 24/7 access to essentials with reduced manpower. The solution is scalable for multiple locations and can be extended with analytics, AI-based demand prediction, and remote fleet management.

👥 Stakeholders: V. KUSUMANJALI 231801130015 T. SHARON 231801400002 R. SATHISH 231801410007 S. DINESH 231801130016 G. JOGESWAR RAO 231801410004 G. SIDDARDHA 231801130008 S. SYAMALA NEELLAVENI 241801400015 V. INDU 241801130020 K. ANKITHA 241801410018 D NIKHITA SAI DURGA 241801400009

📌 Overview: The AR Based Cultural Heritage Preservation Platform uses Augmented Reality to digitally preserve and showcase cultural heritage sites, artifacts, and traditions. The platform creates interactive 3D and AR experiences that allow users to explore heritage in an immersive way. It enables virtual access to monuments, making heritage education more engaging and accessible. The system supports tourism, education, and research through guided AR content. Overall, it ensures long-term preservation and promotion of cultural heritage using modern technology.

🎯 Objectives: 1. To digitally preserve cultural heritage using AR and 3D technologies. 2. To provide immersive and interactive heritage learning experiences. 3. To promote cultural awareness among youth and the global audience. 4. To enhance tourism through virtual and on-site AR guidance. 5. To support heritage conservation, research, and restoration efforts.

⚙ Methodology: 1. Collect and digitize cultural heritage data using images, videos. 2. Create accurate 3D models and AR content for monuments and artifacts. 3. Integrate AR features into a mobile apk using AR frameworks in unity 3D. 4. Enable interactive visualization, narration, and guided experiences for users. 5. Deploy, test, and scale the platform for multiple heritage sites and users.

✅ Key Outcomes: 1. Digitally preserves cultural heritage using AR and 3D models. 2. Provides immersive and interactive learning experiences for users. 3. Increases youth engagement and cultural awareness through technology. 4. Enhances tourism with virtual and on-site AR guided experiences. 5. Enables global access and supports heritage restoration and research.

🌍 Impact: The project digitally preserves cultural heritage using Augmented Reality, ensuring its protection for future generations. It makes cultural learning immersive and interactive, increasing public engagement and awareness. The platform enhances education and tourism by providing rich AR-based experiences. It enables global access to heritage sites regardless of location. Additionally, it supports conservation and restoration through accurate digital documentation.

👥 Stakeholders: T. Mouli, Janaki ram, D. Harshit, D. Chandu, K. Thanushri, N. Sunayana.

📌 Overview: he RFID-Based Smart Trolley System is an intelligent shopping solution designed to automate the billing process in supermarkets and retail stores. The system uses Radio Frequency Identification (RFID) technology to identify products placed inside a shopping trolley and generate the bill automatically without manual barcode scanning. Each product is attached with an RFID tag containing a unique identification number. An RFID reader mounted on the trolley reads these tags and sends the information to a microcontroller unit, which retrieves product details such as name and price from a database. The total bill is updated in real time and displayed to the customer. This system significantly reduces checkout time, minimizes human errors, and improves shopping efficiency.

🎯 Objectives: The main objectives of the RFID-based smart trolley project are: To eliminate long queues at billing counters in supermarkets. To automatically identify products using RFID technology. To provide real-time bill generation while shopping. To reduce manual labor and billing errors. To enable faster and convenient checkout for customers. To support inventory management by updating product data automatically. To improve overall customer shopping experience.

⚙ Methodology: The RFID-based smart trolley system operates by integrating RFID technology with an embedded processing unit to automate the shopping and billing process. Each product in the supermarket is fitted with an RFID tag containing a unique identification code. An RFID reader mounted on the smart trolley continuously scans for tags when products are placed inside the trolley. The scanned tag information is transmitted to a microcontroller, which processes the data by comparing the received tag ID with a pre-stored product database containing item names and prices. Once the product is identified, the corresponding price is added to the total bill and the updated information is displayed on an LCD screen or mobile application in real time.

✅ Key Outcomes: The implementation of the RFID-based smart trolley system results in automated product identification and real-time billing without manual barcode scanning. The system successfully reduces checkout time by enabling customers to view and manage their bills while shopping. It ensures accurate billing by minimizing human intervention and provides seamless integration with digital payment systems. Additionally, the system enables automatic inventory updates, improving stock monitoring and control for retail stores.

🌍 Impact: The RFID-based smart trolley system has a significant impact on both customers and retailers. For customers, it enhances shopping convenience by eliminating long queues and providing transparency in pricing. For retailers, it reduces labor dependency at billing counters, increases operational efficiency, and improves inventory accuracy. The system also supports faster customer turnover, leading to better store management and improved service quality.

👥 Stakeholders: N.Ananth 231801131041 S.Pavan 231801400004 Dilesh Bhanu 231801400006

📌 Overview: A Fire Fighting Robot is an automated or semi-automated system designed to detect and extinguish fires in hazardous environments where human intervention is risky. The robot is equipped with sensors to detect fire, smoke, or high temperature and uses a fire-extinguishing mechanism such as water, foam, or CO₂. It can be remotely controlled or work autonomously, ensuring faster response and improved safety.

🎯 Objectives: To design and develop a robot capable of detecting and extinguishing fire. To minimize human risk in fire-hazard environments. To provide a cost-effective and reliable fire safety solution. To demonstrate the application of robotics and embedded systems in real-world safety systems.

⚙ Methodology: Fire Detection,Use flame sensors, smoke sensors, or temperature sensors to identify fire.,Control System,A microcontroller (Arduino / Raspberry Pi) processes sensor data.,Movement Mechanism,DC motors with motor drivers enable robot navigation.,Fire Extinguishing Unit,Water pump or extinguisher nozzle activated when fire is detected.,Power Supply,Rechargeable battery for continuous operation.,Testing & Validation,Robot performance tested under controlled fire conditions.

✅ Key Outcomes: Successful detection of fire sources,Efficient movement towards fire location,Automatic or remote-controlled fire suppression,Improved response time compared to manual firefighting,Demonstration of interdisciplinary engineering concepts.

🌍 Impact: Enhances safety by reducing human exposure to dangerous fires. Useful in industries, warehouses, hospitals, and residential buildings. Supports disaster management and emergency response systems. Promotes innovation in robotics and automation. Can be upgraded with AI, IoT, and camera surveillance.

👥 Stakeholders: CH . GANESH(221801130003 ) K . GANESH(221801130005 ) J . HEMANTH(221801130014 ) A . KULA VARDHAN(221801130020) M . DURGA PRASAD(221801410003) CH . SATYA SAI(221801410017 ) M . SRI SAI (221801410018 )

📌 Overview: built with Arduino Uno and HC-05 Bluetooth module that combines lawn mowing and pest control capabilities. The robot can be wirelessly controlled via smartphone to navigate across fields, cut grass efficiently, and spray pesticides in targeted areas, reducing manual labor and improving precision in farm maintenance.

🎯 Objectives: To Develop a multi-functional robot that can autonomously or remotely perform grass cutting and pesticide spraying operations To Design and integrate a Bluetooth-based control system that enables real-time remote operation via smartphone

⚙ Methodology: The Smart Grass Cutter and Pesticide Spraying Robot operates by integrating Bluetooth wireless communication with an Arduino-based control system to automate lawn maintenance and pest control operations. The robot chassis is equipped with DC motors for movement, a rotating blade mechanism for grass cutting, and a pump-driven spraying system for pesticide application. An HC-05 Bluetooth module mounted on the robot establishes wireless connectivity with a paired smartphone, enabling the user to send control commands remotely.Based on the received command (forward, backward, left, right, cut grass, or spray pesticide), the Arduino triggers the appropriate motors for navigation or activates the cutting blade and spraying pump. .

✅ Key Outcomes: developed a fully functional wireless-controlled robot that performs both grass cutting and pesticide spraying operations with minimal human intervention. Implementation of a reliable Bluetooth-based remote control system enabling safe smartphone operation.

🌍 Impact: Reduces farmer exposure to harmful pesticides and physical strain from manual grass cutting operations. Applicable in agriculture, horticulture, landscaping services, golf courses, public parks, and residential gardens. Supports sustainable farming practices by enabling precise pesticide application and reducing chemical overuse. Promotes innovation in agricultural automation and smart farming technologies for developing regions.

👥 Stakeholders: I.PAVAN AKHILESH(221801130006) D.DORAMMA(221801130008) K.KUSHAL KUMAR(221801130010) G. THARUN(221801130019) B.AJAY(221801131023) S.V.S RAKESH SARMA(221801131025)

📌 Overview: Natural and man-made disasters such as earthquakes, fires, and building collapses often create environments that are unsafe or inaccessible for human rescuers. This project focuses on the design and development of a self-navigating robotic system equipped with multiple sensors to assist in search and rescue operations.The robot is capable of autonomous movement, obstacle detection, environmental monitoring, and victim detection, thereby reducing risk to human responders and improving rescue efficiency.

🎯 Objectives: To design a mobile robot capable of autonomous navigation To integrate multiple sensors for real-time environment perception To detect obstacles, hazardous conditions, and human presence To assist rescue teams by operating in dangerous or inaccessible areas To improve speed, safety, and accuracy of disaster rescue operations

⚙ Methodology: Sensor Integration for Navigation: Ultrasonic and infrared sensors enable the robot to detect obstacles and plan safe paths through debris and unstable terrain. Environmental Monitoring: Gas, temperature, and smoke sensors continuously track hazardous conditions to detect unsafe levels. Autonomous Control: A control algorithm processes sensor data to make real-time navigation decisions without human intervention. Wireless Data Transmission: Live sensor data and alerts are sent to the rescue team via a wireless communication module. Efficient Disaster Operation: The integrated system ensures accurate navigation, effective hazard detection, and reliable performance in disaster-affected areas.

✅ Key Outcomes: Successful development of a self-navigating rescue robot Accurate obstacle detection and avoidance Reliable sensing of hazardous conditions Effective identification of human presence Stable real-time data communication Reduced dependence on manual intervention

🌍 Impact: Enhances safety of rescue personnel Enables operations in high-risk environments Reduces rescue response time Improves chances of locating survivors Cost-effective and scalable solution for disaster management Applicable to military, firefighting, and industrial safety domains

👥 Stakeholders: T . VASU 221801410014 A . SAI 221801130011 Y . GOVINDA 221801410010 T . DAMODHAR RAO 221801130012 P . KARTHIKEYAN 221801130009 P . DINAKAR 221801131024

📌 Overview: The Fingerprint Based Attendance System is a biometric solution designed to automate and manage attendance using fingerprint recognition technology. Unlike traditional attendance methods such as manual registers or ID cards, this system uniquely identifies individuals based on their fingerprint patterns. The system captures a user’s fingerprint, verifies it against stored biometric data, and records attendance automatically in a digital database. This improves accuracy, security, and efficiency in attendance management for institutions such as schools, colleges, and organizations.

🎯 Objectives: To eliminate manual and proxy attendance. To ensure accurate and reliable attendance recording. To reduce administrative workload and time consumption. To provide secure authentication using biometric data. To generate attendance reports automatically for easy monitoring and analysis. To improve transparency and accountability in attendance management.

⚙ Methodology: Fingerprint Enrollment Fingerprint Authentication Verification and Attendance Marking Data Storage and Management Report Generation

✅ Key Outcomes: Accurate and tamper-proof attendance records. Elimination of fake or duplicate attendance entries. Reduced paperwork and administrative effort. Faster attendance process compared to manual methods. Secure storage of attendance data. Easy retrieval and analysis of attendance information.

🌍 Impact: Educational Institutions: Improves discipline and attendance monitoring among students. Organizations: Enhances workforce management and productivity. Security: Prevents unauthorized access and identity fraud. Efficiency: Saves time and operational costs. Digital Transformation: Supports automation and modernization of record-keeping systems.

👥 Stakeholders: N. BHARATHI(231801410006) N. ASHA(231801130027) K. TARUN(231801130001) S. RAVI KUMAR(231801130026) S. YASWANTH(231801131001)

📌 Overview: Deep-sea eDNA studies are limited by incomplete reference databases and high computational costs, which hinder biodiversity assessment. This project develops an AI-driven, reference-light pipeline that clusters raw eDNA reads using unsupervised learning before any database lookup. By annotating only cluster representatives and estimating abundance from cluster sizes, it reduces alignment time while still enabling discovery of novel deep-sea taxa.

🎯 Objectives: Develop an AI-driven pipeline that clusters raw deep-sea eDNA reads into taxa-like units using unsupervised learning. Assign taxonomy to cluster representatives where possible and estimate biodiversity from per-cluster abundances. Provide an easy-to-use interface for non-experts to upload eDNA data and receive taxonomic and novelty-aware summaries.

⚙ Methodology: Convert raw deep-sea eDNA sequences into numerical fingerprints that capture DNA patterns without needing prior labels. Use unsupervised AI to group similar fingerprints into taxa-like clusters and estimate biodiversity from cluster sizes. Compare one representative per cluster to curated DNA marker databases to attach taxonomic names where possible, while still detecting novel taxa.

✅ Key Outcomes: A working AI-driven pipeline that clusters raw deep-sea eDNA reads into taxa-like groups and quantifies their relative abundances. Taxonomy-aware outputs that attach names to cluster representatives where possible and highlight unlabeled clusters as candidates for novel or poorly represented taxa. Prototype-ready CSVs and a planned user interface that together enable non-experts to explore biodiversity patterns and download reports for deep-sea monitoring applications. ​ ​

🌍 Impact: For industry and conservation, the approach can be integrated into observatories and monitoring services to provide rapid, cost-effective biodiversity summaries that inform marine planning, protected areas, and restoration efforts.

👥 Stakeholders: K.Bharathi -231801360013 Y.Lakshmi Chandana231-801380022 C.Venkat Dhanush-23180138007 K.Shashank Varma-231801371093 B.Tharun Kumar-231801380013

📌 Overview: Wooden Robotics refers to the design and development of a robot using wood as the primary structural material instead of metal or plastic. The project integrates basic mechanical design, electronics, and programming to demonstrate robotic motion and control in a low-cost, eco-friendly, and lightweight manner. Despite using wood, the robot performs essential tasks such as movement, object handling, or sensing.

🎯 Objectives: To design a low-cost and eco-friendly robotic structure using wood To understand basic robotic mechanisms like motion and control To integrate electronics and programming with a mechanical system To promote sustainable materials in engineering applications To enhance hands-on learning in robotics and embedded systems

⚙ Methodology: Design Phase Mechanical Assembly Electronic Integration Programming Testing and Optimization

✅ Key Outcomes: Successful development of a functional wooden robot Improved understanding of robotics fundamentals Hands-on experience with embedded systems and motor control Demonstration of cost-effective robot design Enhanced teamwork and problem-solving skills

🌍 Impact: Encourages sustainable and eco-friendly engineering practices Makes robotics accessible for students due to low cost Useful for educational demonstrations and STEM learning Reduces dependency on expensive materials Inspires innovation using locally available resources

👥 Stakeholders: S.Pravallika-231801130013 L.Satyavathi -231801130014 P.Kiran kumar -231801131040 B.Durga prasad-231801410021 T .Hemanth kumar-231801130006

📌 Overview: The Voice Controlled Wheelchair is an assistive mobility system designed to help people with physical disabilities move independently using simple voice commands. The system interprets spoken instructions (such as forward, backward, left, right, stop) and converts them into motor actions that control the wheelchair. It integrates speech recognition, a microcontroller, motor drivers, and safety features to provide hands-free and user-friendly mobility.

🎯 Objectives: To enable independent mobility for people with severe motor impairments. To design a hands-free control system using voice commands. To develop a low-cost and reliable assistive wheelchair solution. To ensure safe navigation with accurate command recognition and quick response. To improve quality of life and reduce dependency on caregivers.

⚙ Methodology: The voice controlled wheelchair works by capturing the user’s voice commands through a microphone or mobile application and converting them into control signals using a speech recognition module. These signals are processed by a microcontroller, which controls the motor driver circuit to move the wheelchair in the required direction. This method enables smooth, hands-free and safe movement of the wheelchair using simple voice commands.

✅ Key Outcomes: Social Impact: Enhances independence and dignity of people with disabilities. Health Impact: Reduces physical strain and mental stress on users and caregivers. Technological Impact: Promotes the use of embedded systems and AI-based voice recognition in healthcare. Economic Impact: Offers a low-cost alternative to expensive commercial powered wheelchairs.

🌍 Impact: Addresses a real-world problem faced by physically challenged individuals. Encourages inclusive design and accessibility in engineering solutions. Demonstrates practical application of embedded systems, signal processing, and control systems. Can be further enhanced with IoT, GPS, obstacle avoidance, and AI-based learning for smarter mobility.

👥 Stakeholders: D. ANUSHA (231801130004) N. POORNESH (231801130018) N. YAMUNA (231801130007) K. RAMU (231801400012) P. JOHN (231801400011) V. MAHENDRA (231801440001) T.SRIVARSHITH (231801130022)

📌 Overview: A voice control writing robot is an automated system that converts spoken commands into written text or drawings. It uses speech recognition technology to understand user voice inputs. The recognized commands are processed by a microcontroller or processor. Motors and mechanical parts control the movement of a pen on paper. This system reduces manual effort and improves writing accuracy. It is useful for education, assistance for disabled persons, and automation applications.

🎯 Objectives: To design a robot that writes using voice commands. To convert human speech into machine-understandable signals. To control motor movements precisely for accurate writing. To minimize human involvement in repetitive writing tasks. To assist physically challenged individuals in writing activities. To demonstrate the integration of speech recognition and robotics.

⚙ Methodology: The user gives a voice command through a microphone or mobile application. The voice input is converted into text using a speech recognition module. The processed command is sent to the microcontroller for decision making. The microcontroller generates control signals for the motor driver circuit. Motors move the pen mechanism according to the given command. The robot writes the required text or pattern accurately on paper.

✅ Key Outcomes: Successful conversion of voice commands into written text. Accurate control of pen movement using motor mechanisms. Reduced manual effort in writing tasks. Improved accessibility for physically challenged users. Effective integration of speech recognition and robotic control. Demonstration of a reliable and user-friendly automation system.

🌍 Impact: Enables hands-free writing, improving convenience and efficiency. Provides strong support for physically challenged and elderly users. Reduces human effort and time in repetitive writing tasks. Enhances learning by combining voice recognition with robotics. Encourages the use of automation in everyday applications. Demonstrates the practical impact of human–machine interaction technology.

👥 Stakeholders: J.SIREESHA (221801130016) D.DHARANI (221801130015) P.KAVYA (221801130018) S.VARDHAN(221801130001) P.BHARGAV(221801410016) B.PRANEETH(221801130013)

📌 Overview: This project uses LoRa wireless technology to send emergency alerts during disasters. It helps in communication even when mobile networks fail.

🎯 Objectives: To provide fast and long-range disaster warning messages. To ensure people get alerts safely with low power and low cost.

⚙ Methodology: Sensors detect disaster conditions like flood or fire. The data is sent through LoRa modules to a receiver, which triggers an alert message or alarm.

✅ Key Outcomes: Quick disaster alerts can be delivered over long distances. The system works reliably even in remote areas. Impact It improves public safety by giving early warnings. It reduces damage and helps in faster rescue operations.

🌍 Impact: LoRa is best for disaster management because it works with low power and long-range coverage. It is a useful solution for emergency communication.

👥 Stakeholders: P.SUNEEL[231801130030] M.POOJITHA[231801410021] V.DINESH[231801130012] M.YASHODHA KRISHNA[231801130034]

📌 Overview: This project focuses on building a centralized travel management system to plan, track, and manage travel bookings efficiently. It addresses issues like manual planning, poor tracking, and lack of transparency. The system improves user convenience and operational efficiency for travelers and administrators.

🎯 Objectives: • Simplify travel planning and bookings • Track travel details and expenses • Improve coordination between users and admins

⚙ Methodology: A web-based application developed using React for UI and Node–Express for APIs. MongoDB stores travel data. The system follows a role-based workflow with real-time updates.

✅ Key Outcomes: • Online travel planning module • Centralized booking records • Efficient travel tracking system

🌍 Impact: Enhances travel organization and reduces manual errors. Can be scaled for corporate, educational, or tourism sectors.

👥 Stakeholders: GUDLA AMRUTHA – 221801380006 MERUGU MOUNIKA RATNAM – 221801380013 MUDIMUKKI PRAVEEN KUMAR – 221801380021 YEDLURI UDAYA RAJU – 221801380027 TIPPANA SAI KIRAN – 221801380034

📌 Overview: The project provides an AI-powered assistant to automate data cleaning and preprocessing tasks. It addresses the challenge of handling noisy and inconsistent datasets. This tool improves data quality for analytics and machine learning applications.

🎯 Objectives: • Automate data preprocessing tasks • Reduce manual data cleaning effort • Improve data quality for analysis

⚙ Methodology: The system uses a React-based interface with Node–Express APIs. AI-based preprocessing logic is applied, and MongoDB stores datasets and processing history.

✅ Key Outcomes: • Automated data cleaning assistant • Preprocessed datasets ready for analysis • Reduced preprocessing time

🌍 Impact: Supports data science education and industry use cases. Scalable for large datasets and analytics platforms.

👥 Stakeholders: SANA SRIVALLI – 221801380029 DVV KALYAN – 221801380022 BODANKI BALA SAI – 221801120005 RONGALI JITENDRA – 221801120004 CHEVALA SIVAMANI – 221801380036

📌 Overview: This project automates parking slot allocation and monitoring. It solves problems like manual parking tracking and congestion. The system provides real-time parking availability and efficient space utilization.

🎯 Objectives: • Automate parking slot allocation • Monitor parking availability • Reduce congestion and manual effort

⚙ Methodology: A full-stack web application with real-time updates. React handles the dashboard, Node–Express manages logic, and MongoDB stores vehicle and slot data.

✅ Key Outcomes: • Real-time parking status • Automated slot assignment • Improved parking efficiency

🌍 Impact: Useful for campuses, malls, and smart cities. Can be integrated with IoT-based parking systems.

👥 Stakeholders: NEELIROTHU HYMAVATHI – 221801370009 S VANDANA – 221801370052 JANA MOUNIKA – 221801370065 TADAKA KAVYA – 221801370068P CHARISHMA – 221801370074

📌 Overview: This system manages skill-based courses, enrollments, and progress tracking. It addresses difficulties in managing multiple courses manually. The platform supports structured learning and skill development.

🎯 Objectives: • Manage skill courses digitally • Track student enrollment and progress • Improve course accessibility

⚙ Methodology: Developed using MERN stack with role-based access. MongoDB stores course and user data, while dashboards provide insights.

✅ Key Outcomes: • Centralized course management • Student progress tracking • Organized skill repository

🌍 Impact: Encourages skill development and supports employability-focused education. Easily scalable for institutions.

👥 Stakeholders: THUMMALA AKASH – 221801370067 KODA MAYANK – 221801370002 NADIPINTI MURALI – 221801370005 GUNTAREDDI LAKSHMI – 221801370022 ALAJANGI MANASA – 221801370023

📌 Overview: This project builds a smart cycle ride booking platform with AI-based enhancements. It addresses urban mobility and eco-friendly transport needs. The system optimizes ride allocation and user experience.

🎯 Objectives: • Enable cycle ride booking online • Optimize ride availability using AI • Promote eco-friendly transport

⚙ Methodology: React-based booking UI with Node–Express backend. MongoDB stores ride data, and AI logic supports smart suggestions.

✅ Key Outcomes: • Online cycle booking system • Optimized ride allocation • User-friendly interface

🌍 Impact: Supports sustainable transport initiatives and smart campus solutions. Can expand to city-level deployment.

👥 Stakeholders: N HARINI DEVI MADDULA – 221801380030 M D G MAHESH BABU – 221801380024 NUTI VENKATA MANI DEEPIKA – 221801380009 ABOTHULA SAI – 221801370013

📌 Overview: This platform manages workers using AI-driven insights for task allocation and monitoring. It solves inefficiencies in manual workforce management. The system improves productivity and transparency.

🎯 Objectives: • Automate worker management • Optimize task allocation using AI • Track worker performance

⚙ Methodology: Built using MERN stack with AI-based decision logic. MongoDB stores worker and task data with dashboards for monitoring.

✅ Key Outcomes: • Smart worker allocation system • Performance tracking dashboards • Reduced management effort

🌍 Impact: Applicable to industries, construction, and service sectors. Scalable for enterprise-level workforce systems.

👥 Stakeholders: S SHYAM KOUSHIK – 221801370016 DATHI HIMA BINDU – 221801370050 KOLA MADHUMITHA – 221801120003 TETAKALI YAMINI – 221801370053

📌 Overview: This project creates a centralized platform to showcase and manage student talents. It addresses the lack of structured talent recognition systems. The hub connects students with opportunities.

🎯 Objectives: • Identify and showcase student talent • Provide opportunity visibility • Encourage holistic development

⚙ Methodology: A web portal built with React and Node–Express. MongoDB stores talent profiles, achievements, and event data.

✅ Key Outcomes: • Central talent repository • Student achievement tracking • Improved engagement

🌍 Impact: Strengthens student visibility and institutional reputation. Can be linked with placement and event systems.

👥 Stakeholders: URJANA HARIKA – 221801120001 NEELIROTHU HEMAVATHI – 221801380004 RAMBHA JHANSI – 221801380019 MOYYA TEJASRI – 221801380026 D.S.H.S SUDHEER – 221801380032

📌 Overview: BizBoost automates social media promotions for businesses. It solves the challenge of manual content scheduling and performance tracking. The tool improves marketing efficiency for small businesses.

🎯 Objectives: • Automate social media posting • Analyze engagement performance • Improve digital marketing reach

⚙ Methodology: Developed using MERN stack with automation logic. MongoDB stores campaigns and analytics data.

✅ Key Outcomes: • Automated promotion tool • Engagement analytics dashboard • Reduced marketing effort

🌍 Impact: Supports startups and small businesses. Scalable for digital marketing agencies and enterprises.

👥 Stakeholders: GAVARA LOKESH – 221801370034 BRUNDAVANA PAVAN SAI – 221801370045 VUPPULURI KALYAN KUNDHAN – 221801370041 PANDI PAANDU RANGA GANESH – 221801370061 NAGADEVARA ARYATEJA – 221901370063

📌 Overview: A web-based system to manage faculty profiles, workload, schedules, and academic records efficiently. It reduces manual paperwork and improves administrative accuracy. The system ensures easy access and better coordination within the institution.

🎯 Objectives: • Digitize faculty records • Simplify workload & timetable management • Improve administrative efficiency

⚙ Methodology: Develop a role-based web application with CRUD operations, secure authentication, and centralized data storage using MongoDB.

✅ Key Outcomes: • Digital faculty database • Automated workload tracking • Improved admin efficiency

🌍 Impact: Enhances institutional productivity and supports scalable academic management solutions.

👥 Stakeholders: L Poojitha – 221801350004 D Niharika – 221801350008 S Sai Manikanta Reddy – 221801350009 M Haarini Sree – 221801390029 B Jithendra – 221801390002

📌 Overview: This system automates vehicle entry and exit using QR code scanning. It improves campus security and minimizes manual verification delays. The system maintains accurate vehicle movement records.

🎯 Objectives: • Automate vehicle access • Improve security monitoring • Maintain digital logs

⚙ Methodology: Implement QR-based authentication integrated with a web dashboard for monitoring and reporting.

✅ Key Outcomes: • QR-based access system • Real-time vehicle logs • Reduced manual errors

🌍 Impact: Useful for campuses, gated communities, and industries for secure vehicle management.

👥 Stakeholders: Raja Prem Sai Maddula – 221801390008 Naga Sai Preetham Maddula – 221801350007 Bhaskar Viswanadh Devisetti – 221801350019 Rohith Vinay Cherukuri – 221801350017 Sai Kiran Suvvari – 221801350002

📌 Overview: An online food ordering platform that allows users to browse menus, place orders, and track status digitally. It streamlines restaurant operations and improves customer experience.

🎯 Objectives: • Enable online ordering • Reduce order processing time • Improve user convenience

⚙ Methodology: Build a responsive web app with order management, authentication, and database-driven menu handling.

✅ Key Outcomes: • Online ordering portal • Order tracking system • Efficient restaurant workflow

🌍 Impact: Helps small restaurants digitize operations and scale online services.

👥 Stakeholders: P. Harshitha – 221801340021 A. Varshitha – 221801340022 M. Mahesh – 221801340019 Ch. Srujana – 221801340015 B. Vasu – 221801340010 P. Gani Babu – 221801340016

📌 Overview: A digital platform designed to support farmers with crop information, weather updates, and market insights. It aims to modernize agriculture through technology-driven decision support.

🎯 Objectives: • Support farmers digitally • Provide real-time information • Improve agricultural productivity

⚙ Methodology: Develop an integrated portal with dashboards, APIs, and database-driven insights.

✅ Key Outcomes: • Smart farming portal • Centralized agri information • Improved decision-making

🌍 Impact: Promotes smart agriculture and supports sustainable farming practices.

👥 Stakeholders: Senapathi Suresh – 221801340007 K. V. Ganesh – 221801340005 S. Rakesh – 221801340014 V. Jagadeesh – 221801340018 K. Lavanya – 221801390020

📌 Overview: A digital wallet system integrated with an AI chatbot for user assistance. It enables secure transactions and provides instant query resolution through conversational AI.

🎯 Objectives: • Enable secure payments • Provide AI-based assistance • Improve user engagement

⚙ Methodology: Implement wallet services with chatbot integration for FAQs and transaction support.

✅ Key Outcomes: • Digital wallet system • AI chatbot support • Secure transaction handling

🌍 Impact: Useful for fintech applications and scalable digital payment ecosystems.

👥 Stakeholders: R. Dhillee Rao – 221801350016 B. Tejaswarao – 221801390024 G. Abhishek – 221801390028 K. Venkata Sai Teja – 221801390021 T. Prasanna – 221801390026

📌 Overview: A scheduling system to manage room allocation linked with timetables. It avoids conflicts and optimizes infrastructure usage.

🎯 Objectives: • Automate room scheduling • Avoid clashes • Optimize space utilization

⚙ Methodology: Create a timetable-linked booking system with admin controls and real-time availability.

✅ Key Outcomes: • Digital room scheduler • Conflict-free allocations • Efficient space usage

🌍 Impact: Improves academic infrastructure planning and institutional resource management.

👥 Stakeholders: B. Aditya – 221801390010 D. Sasikanth – 221801390011 D. Purushotham – 221801390018 K. Lavanya – 221801390023 A. Greshma – 221801350006 P. Satwik – 221801350015

📌 Overview: A web-based video meeting platform for online collaboration. It supports virtual communication for academics and organizations.

🎯 Objectives: • Enable online meetings • Support collaboration • Reduce physical dependency

⚙ Methodology: Build a real-time meeting system with authentication and session management.

✅ Key Outcomes: • Online meeting platform • Real-time collaboration • Secure access

🌍 Impact: Supports remote education and digital workplaces.

👥 Stakeholders: P. Satyanarayana – 221801340020 M. Vamsi Krishna – 221801340009 Y. Chenna Pavan Reddy – 221801340008 G. Karthik Srinivas – 221801340012 P. Laya Vardhan – 221801340017

📌 Overview: A system to track and manage vehicle usage, fuel logs, and allocation. It ensures transparency and efficient utilization of vehicles.

🎯 Objectives: • Track vehicle usage • Maintain usage logs • Improve accountability

⚙ Methodology: Develop a management dashboard with usage records and reports.

✅ Key Outcomes: • Vehicle tracking system • Usage analytics • Reduced misuse

🌍 Impact: Suitable for institutions and organizations managing vehicle fleets.

👥 Stakeholders: M. Guru Manohar – 221801350014 S. Madhuri – 221801350010 Nandyala Giridhar – 221801340011 Botchu Koteswara Rao – 221801340013

📌 Overview: A secure online voting system using face recognition for authentication. It ensures voter identity verification and reduces fraudulent voting.

🎯 Objectives: • Ensure secure voting • Prevent impersonation • Automate vote counting

⚙ Methodology: Implement face recognition authentication integrated with a voting portal.

✅ Key Outcomes: • Secure voting platform • Automated verification • Accurate results

🌍 Impact: Useful for secure digital elections and organizational voting systems.

👥 Stakeholders: Yerra Rohan Kumar – 221801350001 Mallada Naveen – 221801350003 Juttu Manikanta – 221801390009 Balla Harsha Vardhan – 221801390030