Farmer Wagon
Agriculture is the primary source of livelihood for about 58 per cent of India’s population. Plant diseases are a major challenge for the agricultural sector. Accurate and rapid detection of diseases in plants can greatly reduce economic losses. The main goal of agriculture app development is to optimize farming processes. Though there exist many smart farming methods, extending them to mobile devices is the next logical step, allowing farmers to use these technologies wherever they are. Since the prevailing technologies don’t nearly meet the demand, we propose a more optimized app focusing to serve the farmers across the globe.
Spider Bot
This project deals with the design, construction and control of a walking spider robot. The robot, which can walk using robotic arms, is equipped with force-sensitive resistors and encoders. In addition to these features, object following and path tracking capabilities are incorporated into this, making use of object detection algorithms. This robot can be controlled and monitored from a user interface program, along with an autonomous working mode, which can display data from the sensors. The robot can be used for surveillance purposes, rescue operations, etc.
Virtual Academy Management System
Virtual Learning Management Systems were designed to identify training and learning gaps, utilizing analytical data and reporting. LMSs are focused on online learning delivery but support a range of uses, acting as a platform for online content, including courses, both asynchronous based and synchronous based. In the higher education space, an LMS may offer classroom management for instructor-led training. Modern LMSs include intelligent algorithms to make automated recommendations for courses based on a user’s skill profile as well as extract metadata from learning materials in order to make such recommendations even more accurate.
BandiCam
Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process.
Brain controlled communication system
The system is designed to identify transitions that require special care. The system consists of brain wave capturing device (EEG) which is attached to the disabled person and the signal collected from the device is transmitted to a processing module which analyses the data and look for suitable transitions. The program in the module filters the signal to remove noise and divides the signals into epochs of suitable duration. Each epoch is submitted for frequency domain analysis and frequency transition is found. Frequency transitions are then classified and then caregiver is notified through SMS or alarm at transitions that require immediate attention.
Connected Vehicles
In this modern era, data sharing is an important aspect of electronic and telemetry communications. The same concept is being expanded to the automotive industries to facilitate road safety and driver assistance. To present a V2V video transmission system to help drivers to make decisions during unprecedented conditions implementing the concept of connected vehicles. In this project, we will be presenting an inter-vehicular Ad-Hoc networking system with the ability to transmit real-time data without intermediate hops. We aim to provide a modular product, which can be installed in a system without needing any expensive prerequisites to the vehicle. This ensures enhanced safety in ordinary vehicles where safety is equally important. For this project, we plan to address three main scenarios, 1) Overtaking, 2) Cooperative maneuvering and, 3) V2V Pedestrian detection where this technology is applicable. 
Dustbin
The main purpose of this system is to develop the system which uses the information collected from sensors to manage the collected garbage. In proposed system the each Smart Dustbin which are located in several areas of city are connected to internet wirelessly, they equipped with sensors which collects the data about level of collected garbage in Smart Bin and location of Smart Bin.
Face Detection
To create a safe environment that contributes to public safety, we propose an efficient computer vision based approach focused on the real-time automated monitoring of people to detect both safe social distancing and face masks in public places by implementing the model to monitor activity and detect violations through cameras.
AIRA
AIRA is Air Intelligence Rescue Ally. it is a combination of various technological developments such as AI, IOT, Computer Vision, video processing etc. The idea is to create a fully automated Unmanned Aerial Vehicle (UAV) that is equipped even onboard computers to analyse and process the required data needed to provide timely help for those in need of it.
Tag Chain
In the application we gave priority for transparent and genuine transaction, so we are using Blockchain technology as the integral part of the system. Blockchain technology could help resurrect the images of charities willing to adopt its services. By minimizing administrative costs through automation, providing more
accountability through traceable giving milestones, and allowing donors to see more clearly where their funds are going, blockchain may help restore some of the lost credibility to charities that prove worthy of the public’s trust. The Blockchain build trust with donors, recipients, and other stakeholders reach the right people and improve administration costs and efficacy.
