Vizion E-Sense

My project involves developing an advanced automated multi-disease detection tool using the PictoBlox machine learning environment. Deep learning techniques will be employed to tackle morphological similarities among different eye lesions, ensuring remarkable accuracy in disease classification. This tool holds significant technical significance as it streamlines the diagnostic process, reducing errors and providing swift, precise results.

The aim is to revolutionize ophthalmic healthcare by enabling early disease detection and tailoring treatment plans. Through automation and advanced analytics, the tool aims to improve patient outcomes significantly. PictoBlox’s versatility and scalability allow for seamless customization and adaptation to evolving disease patterns, ensuring long-term effectiveness. This project reflects my dedication to leveraging technology for healthcare improvement, paving the way for a more efficient and impactful approach to eye care.

SPEED GUARD PRO:”SPEED LIMIT ENFORCER”

SPEED GUARD PRO: The “Speed Limit Enforcer” is an innovative coding project designed to enhance road safety by automating speed limit enforcement at toll entry gates. Leveraging cutting-edge technology, including QR code scanning and real-time speed monitoring, this project aims to promote compliance with speed limits and reduce the risk of accidents on roadways.
At the toll entry gate, drivers are required to present a QR code generated upon entry to the toll road. This QR code serves as a unique identifier linked to the vehicle and driver information. The “Speed Limit Enforcer” utilizes cutting-edge technology, such as sensors, cameras, and machine learning algorithms, to monitor vehicle speeds and ensure compliance with posted speed limits. By automating the enforcement process, we can free up law enforcement resources, improve traffic flow, and create a safer driving experience for all road users.

Automatic Coin Dispenser

This project introduces a small prototype of a Coin Dispenser Machine that can be installed in various locations like auto rickshaw stands, bus stands, vegetable and fruit markets, and near roadside restaurants. Its purpose is to provide coins for transactions, addressing the common issue of vendors often not having enough change. By inserting notes into the machine, users can receive coins in return, ensuring they always have the right change on hand. This innovation aims to simplify transactions for both customers and vendors, making it easier to conduct business in these settings without worrying about the availability of coins.

Sign kraft

The SIGNKRAFT model is a revolutionary tool facilitating communication between users and those fluent in sign language. Developed using Pictoblox, it employs a classification model to interpret sign language words like “Yes” and “No.” After rigorous training, achieving an impressive accuracy of 90%, the model proves highly reliable. Its portability and user-friendly interface make it accessible to a wide audience. Users simply show the signs with hand gestures, and the corresponding word appears on screen, this helps to bridge the communication gaps effortlessly. With its innovative approach, SIGNKRAFT not only enhances interaction but also promotes inclusivity, empowering both sign language users and the broader community to connect seamlessly.

Crack Detector

My innovative project harnesses the power of machine learning to revolutionize the detection of cracks in pipes. Utilizing technology, the bot is equipped with advanced sensors and algorithms that enable it to climb pipes effortlessly, scanning for potential faults with unparalleled accuracy. By employing machine learning algorithms, our system can swiftly identify and categorize cracks, enabling proactive maintenance and minimizing the risk of catastrophic failures. This breakthrough innovation not only enhances safety standards but also significantly reduces downtime and operational costs for industries reliant on pipeline infrastructure. With our solution, organizations can now proactively address maintenance needs, ensuring the integrity and reliability of their piping systems for years to come.

MediMate

MediMate is a health information system which takes care of the villagers in the field of skin rashes and allergies. In rural areas, getting access to high-quality medical care is a big problem. The inconsistency of licensed physicians and other professional healthcare workers’ availability contributes to periods of medical incapacity. Emergencies complicate the problems, underscoring the urgent need for improved infrastructure and healthcare services in these neglected communities. This project will detect your skin and say what has happened, why did this happen, precautions and how to treat it with home remedies. On the PictoBlox app, Machine learning-image classifier to classify your rash,
Text to speech block and many more blocks have been used. Existing solutions are like trained individuals who come very few times to the villages. During emergencies, they will not be there, but MediMate will always be there even during an emergency.

Ikshana

Team Avinya’s project “Ikshana”, which means to ‘care for and superintend’ by Nishka Koneri and Hriday Sanghavi is a revolutionary companion for the elderly. Ikshana, aims to alleviate loneliness and is an all-rounder robot, specializing in aiding senior citizens with and without health problems. Creating an arena for senior citizens to discover more about themselves, Ikshana supports their physical, mental and emotional health. Through specialized exercises, it combats diseases like Parkinson’s and hypertension. Furthermore, seniors engage with experts, including doctors and nutritionists and indulge in an array of activities, from memory-enhancing games to origami and cooking classes, fostering cognitive development. Physical exercises, yoga, emotional support and journaling sessions promote holistic health. Music, pet, and talk therapies enrich the experience, while an eating buzzer assists in meal management. Work time simulations and hand massages further cater to the seniors’ needs. Therefore, Ikshana ensures a comprehensive and compassionate approach to elderly care.

The Saviours

Ensuring safety is a paramount consideration in vehicle design. Modern vehicles are now equipped with a range of safety features such as airbags, front and rear cameras, lane departure warning, tire pressure indicators, adaptive headlights, automatic emergency braking, adaptive cruise control, and more. Despite the advancements in safety features, there is a notable absence in the automotive industry when it comes to addressing the critical issue of detecting and extinguishing fires within vehicles. Presently, no car manufacturer has implemented a feature specifically designed to combat fires.
To address this gap, we propose the development of a prototype that utilizes computer vision and artificial intelligence to automatically sense the presence of fire. Upon detecting a fire, the system will activate an integrated fire-dousing mechanism to swiftly and effectively extinguish the flames. This innovative solution aims to enhance vehicle safety by proactively addressing the threat of fires within the automotive environment.

Catabot

Given the widespread prevalence of cataracts, many individuals tend to be unaware of the condition, often due to time constraints. To address this issue, we have introduced an innovative solution involving a small robot designed to identify and diagnose cataracts efficiently. This robotic system operates by utilizing a trained artificial intelligence model in conjunction with a standard general-purpose camera. The implementation of this technology serves a dual purpose: not only does it enable users to save both time and money, but it also facilitates early detection of cataracts. The robot’s ability to swiftly and accurately assess the condition leverages the power of artificial intelligence, making the screening process more accessible and efficient. By bringing this technology to the forefront, we aim to enhance awareness, accessibility, and timely detection of cataracts, ultimately contributing to improved eye health outcomes for individuals.

Animal sensor – Agorn Ai

This is a project of an animal sensor. It consists of a camera, an alarm, a sensor, and a capsule containing a dart, and the dart is filled with a liquid called anesthesia. The sensor will sense the animal, and the dart will fly out to the animal and put it to sleep temporarily. during this time, the animal will be taken to a forest nearby or a zoo. The alarm also alerts the people to go to a safe spot away from the dangerous animal. this will be used mainly in rural places, villages, and farming areas so that the people are safe and the crops are not destroyed. It will be in the same color as the thing it will be placed on and will be no bigger than 1ft so that the animal does not see it.