Rakesh Patel
Statuses
Rakesh Patel started following Project

Share - Mind-Approx
This Project intends to extract facial features, body data (heartbeat and respiration rate) and eye movement of the driver using the camera to measure the attention of driver while driving and also to know where the driver focuses his/her attention when in particularly crowded situations and what type of movements do grabs the attention. So I will use this model to try to train a reinforcement learning agent to perform similarly in that situation.
Rakesh Patel started following Project

Share - A Self-Expanding TAVR, EDWARD SAPIEN 3 transcatheter heart valve.
Sapien XT heart valve, which can be inserted without open-heart surgery.
Rakesh Patel started following Project
Share - Calligo AgriTech
Grading is pre-requisite for development of the modern marketing, trade and economy of any commodity. The Indian chillies are graded mostly by farmers on the basis of color and size, before they are brought in the market. The damaged discolored and immature pods are removed depending on market demand. The produce that comes to regulated markets is generally well dried and cleaned as it fetches a premium price. Grading that is usually done at producer’s level before bringing it to markets is sorting out discoloured, white and spoiled chillies at the time of its drying in order to get premium price when it is sold.
Rakesh Patel started following Project

Share - AN INNOVATIVE APPROACH FOR PROMIXITY MARKETING THROUGH IoT
We intend to build a proximity sensing and product recommendation system using BLE Beacons, Android app and Web application. The Android app will sense customer’s proximity using beacon data and deliver customer specific recommendations. The web-app will be an interface for store owner to add/delete/modify product/section information. The use-cases that will be covered are, Be in touch seamlessly with customers giving product recommendations/updates/offers real-time. Boost the sales for the sellers/vendors. Help visitors navigate through the store without spending much time and visiting in person. Using BLE Beacons and Android/Web technologies product details and offers can be seamlessly integrated in the context of a customer’s proximity. Based on the consumer’s previous purchase history, the offer/product mappings are further triggered. This avoids over-invasive shopping experience while correctly engaging consumers in proximity. Customers shall be given inputs only in the way they like it!