Hacktoberfest Hacknight 2019 is an 18 hour overnight hackathon being held on october 12th & 13th at Sahyadri College of Engineering and Management, Mangalore powered by GitHub. The event will start with a talk on \"Need for Innovation\" by MHRD followed by workshop on AR/VR/XR by Mozilla and Git + GitHub workshop by GitHub. After these the Hackathon will Commence.
\nFirst year teams will be assigned with a mentor who'll help them throughout the Hackathon. Don't have a team? Don't worry, we'll assign you a team.
\nRegistration fee is Rs.100/- per participant.
Since We have Limited Seats, Registration forms will close as soon as seats are full. Each team can have maximum of 4 participants. (If registering in a team, make sure there are no typos in the team name and that your team members' team-names match).
The theme and problem statement will be given on-spot.
\nDinner, Snacks and Breakfast will be provided to all the Participants. We'll be including fun activities throughout the event.
\nParticipants can pay by cash or by\nGPay. Participants paying by cash can approach at SOSC Office, 4th Floor, Sahyadri College of Engineering (Contact: 8951994576/9449722724). Payment should be completed before 11th October for confirmation. We cannot guarantee confirmation for on-spot payment and registeration on the day of the event.
\nOn completion of the Hacktoberfest Challenge, all participants will recieve Free Limited Edition HacktoberFest T-Shirts!
\nNothing really, atleast one laptop per team. First year engineering participants don't need to know coding since they can use any techstack of their choice including MIT App Inventor, Thunkable, Scratch etc... (the mentor will be guiding them regarding the same)
\nStudents can add interview questions, videos etc..., company heads can check which students are interested.\nformat.
\nOptical character recognition (OCR) software is capable of turning images (handwritten\nKannada) into text or pdf, but it is not perfect. There are sources of errors that occur because of\nthe nature of the image itself (rotation, sizing, etc.) that should be handled, but there are other\nsources of errors that need to be handled, after the image is converted to text. Among the more\ncommon types of errors are segmentation errors (too m uc h wh itespac e or toolittle whitespace), character rnisrecognitioii, smudges that could cause misrecognition of\npun,ctuation.\nYour challenge is to train a model to find and correct the types of common issues described\nabove to more than 85% accuracy.
Develop the Chatbot to fetch the data from database as per users input. Consider the student\ntable from which chat bot have to fetch the required data such as number of students or marks or\ntopper list or section list or phone number of particular student and so on.\nHealth Care
\nEducation
\nOpen Innovation.
Contact us at:
\n+91 9449722724
\n+91 9108196774