Cape of Good Hope Education Pvt Ltd is pleased to announce the details of the 1st Edition of Build-A-Thon Event that will be held from 23rd April to 25th April 2020.

The event gives a chance to different organizations to hire adept engineering students (IT, CS, Mechanical, ECE) by evaluating their skills on projects based on technologies like:

• Artificial Intelligence
• Internet of Things
• Robotics
• 3D Printing

Features at a glance:

• A 3-day event with two days for developing a project and one day for presentation
• The students have undergone intensive training on the latest technologies
• The students have already developed industrial projects and submitted reports
• The recruiters save their resources spent on screening and training of new candidates
• The recruitment process becomes more optimized
• No registration or recruitment fee for companies

Training offered to the students

The tech experts from Cape of Good Hope have offered 60-hour training to the participating students. The students have acquired skills in the latest technologies like artificial intelligence, robotics, 3D printing, and the Internet of Things. The students have gained proficiency in these skills through hands-on training that involves educational kits, robotic kits, and rapid prototyping skills.
During their course of training, the students have also developed industrial-level projects, such as e-health monitoring systems and river cleaning bot. They have also documented their learnings and observations in the form of a report.

Working in the teams helps each student develop collaborative skills. You might discover a candidate who has sharpened his/her leadership during the project development phase. The project development and coding phase give them a chance to hone their attributes like creativity, logical thinking, and problem-solving.

Sequence of Events
1. The Challenge: The students will receive a challenge from the Build-A-Thon. This challenge might revolve around any environment, social, industrial, or daily-life issue. The Build-A-Thon will provide the necessary kits and guidelines.
2. Project Development – Each team starts brainstorming the ideas to create a project that precisely matches the challenge and available kits. They decide who’s going to work on which aspect of the project.
3. Coding – The teams program their projects to perform the desired sets of functions. The programming is done in C++, Python, or Scratch.
4. Presentation – Each team presents their projects in front of the recruiters. They talk about the:
Parts used

• Methodologies applied
• Technologies covered
• Challenges solved
• And other aspects

5. Face-to-face interview – The recruiters evaluate the candidates through a face-to-face interview where technical and general questions are being asked. The salary negotiations are also part of this stage.
Offer letter – The recruiters award the final students with the offer letter for a specific position in their organization.

Event Details:

Dates: Phase 1 (Project Development) – 23rd & 24th April 2020
Phase 2 (Presentation)               – 25th April 2020

Venue – Indraprastha Engineering College, Sahibabad (Ghaziabad)

Register your company by connecting with us via:

Phone: 9871998481, 8448916098
Email:  sushant@build-a-thon.com, pinky.bharta@neorobos.co.in

Estimated to be around 3 trillion dollars, today fashion industry has emerged as one of the biggest industries in the world. But like other colossal businesses, fashion biz also needs Artificial Intelligence (AI) to carry on business more smoothly, meeting the current challenges and paving way to further culmination of the business. Though the fashion industry is already in its established position, AI is holistically transforming the industry from the way that fashion companies are making their products to the way they are marketed and purchased by their customers. Today, AI technologies are transforming the fashion industry in every essential part of its value chain like designing, manufacturing, logistics, marketing and sales. Since Artificial Intelligence technologies have brought a tremendous change almost in every business which is done on large scale, fashion industry could not remain uninfluenced by this charismatic technology.

AI is utilized to promote and sell fashion products
Progressively, more fashion brands are making use of AI and machine learning to enhance users’ shopping experience, improve sales systems through intelligent automation, and increase the sales processes with the use of prognostic analytics and guided sales processes. Moreover, fashion brands are also in the process of influencing assistants through chatbots and voice assistant devices like Amazon Alexa, Google Home, Apple Siri, and Microsoft Cortana.

Use of conversational systems
Making use of conversational interfaces, fashion brands can collect data by putting questions to be answered by the customers to understand their desires and trends, go into the depth of their purchase patterns and suggest pertinent and add-on items. This interaction brings maximum satisfaction to the customer and more relevant information to the advantage of the fashion brand.

AI making its way into e-commerce and mobile apps
Apart from conversational systems, now AI is also paving its way towards e-commerce and mobile apps. Today, customers facilitated to take the snaps of the garments they prefer or styles they aspire to emulate. Smart image recognition systems can match the pictures to real life items found for sale. Besides, AI-enabled shopping apps enable the customers to have screenshots of the dresses of their choice they see online, identify shop-worthy suits and accessories in that picture, and find the same set of clothes and shop for same type of styles.

AI is boosting fashion design and manufacturing
Recurrent changes in fashion and design have forced the retailers to keep themselves up with the latest trends and foresee consumer choices for coming season. As per tradition, the retailers make their prediction in accordance with the current year’s sales on data from the prior year. However, this cannot be accurate all the times as sales can be impacted by various factors which are not easy to predict. Yet, AI-based approaches for demand projection, may lessen prognosis error almost half of it.