We, at iNeuron, are committed to help students/professionals develop skills which will help them get relevant exposure, which in turn will help establish them as industry-ready professionals. The goal of these challenges is to create working applications at the end of each challenge and to give extensive exposure to real-life problem solving to the participants.
We aim to learn and grow together for a better tomorrow...
This Deep learning challenge is intended to provide exposure to the candidates to build real-time industry-ready deep learning applications. The intention here is to not only build a firm knowledge base for the participants but also to make them job ready and capable enough to crack any job opportunity. This challenge has been launched with this conviction to help the community grow and learn both the theory and the practical implementations of the underlying concepts of deep learning and to motivate them by the means of rewards.
This machine learning challenge has been created with the intent to engage the audience to participate. This also has the potential to bring out the best technical skill sets via the means of competitive learning and personal research. We, at iNeuron, believe that while classroom training is essential, self-learning and competitive practices help in a holistic and a long-lasting learning experience. Thus, we are proud to have launched these challenges, which will help our candidates worldwide achieve their dreams. This challenge is to help the community learn and nurture together by creating a common platform for the exchange of ideas and solutions, and motivating the individuals and teams with appropriate rewards.
This Chatbot building challenge has been initiated with the intent to motivate the audience to participate. At the end of this challenge, the deliverable is to build a chatbot which can initiate, continue and respond to a conversation as a human would do and on top of that perform other background tasks as well such as ticket creation, email notifications etc. This is also targeted towards building and spreading awareness amongst people towards the COVID-19 pandemic. Thus, we are proud to have launched this challenge, which will help everyone learn and be safe in these dire times.
"Hello iNeuron, This is Vishweswar here and first of all, thank you so much iNeuron for taking initiative for such type of challenges and making students to test their potential of building a solution in the real world. And also thanks for choosing me as a winner of this challenge as I have tried my best to make this chatbot. And I would say I am 3rd year computer engineering undergraduate and also a full-stack web developer but haven’t tried making chatbot ever and this was the first time I had made a chatbot and that to learnt with 4 different frameworks. The first huge decision was to choose which framework to work upon and then how to approach as many things could be done inside a chatbot as much as you can think because interaction with human is endless. And at the end, I would thank to all our mentors Sudhanshu sir, Virat sir, Mohit Sir, Jiwitesh sir all of our instructors in iNeuron for giving us this opportunity and building the better version of us."Vishweshwar – 1st Prize winner, Chatbot challenge
"Chatbot Challenge is a great learning and one of the best mode of increasing my confidence for doing something which I never did before. During the execution I did face few obstacles but the previous videos from iNeuron were very helpful. A big shout for Sudhanshu Kumar and his team for organizing such a cool challenge. I am looking for such more challenges and learning new things."Khushali – 2nd Prize winner, Chatbot challenge
"I am here to share my personal opinion and learning but first of all I want to thanks all iNeuron team to provide us this wonderful opportunity in terms of chatbot challenge to showcase our talents and hardwork. I am having 3+ years of IT experience but this area was completely novel for me. This chatbot hackathon was not an easy and not so difficult at the same point of time. Because here we need to cover all the 4 platforms which comes with the various dependency under very limited amount of time. Yes time was the major factor to complete all the assign task, during this process I have learned how we can efficiently utilise our time. In this process, I had faced many hurdles where I have taken the help of iNeuron mentors & google and tried to fix many things, and these enhanced my learning and knowledge about those aspects which was new to me."Ravi Chaurasia – 3rd Prize winner, Chatbot challenge