A National Level Project Competition on Data Science Challenge 1.0 (DSC1.0)

Sarvajanik College of Engineering and Technology, Surat in association with IEEE SPS SCET Student Branch Chapter, GS and IEEE SCET Student Branch organizes, a national level project competition on ‘Data Science Challenge.’ |The goal is to turn data into information, and information into insight.| – The competition is open for BE/BTech/BCA/B.Sc.(IT and CO)ME/MTech /MCA students. – Participants can form a team of 3 (maximum) and 1 mentor. – Problem statements will be given in two domains, viz. Signal Processing and Image Processing. – All participating teams will send a 3 minutes video clip on idea/work-out related to the given broad problem statement (mentioned below), in the corresponding category by 20th Jan 2022. – Qualified teams will participate in the Semi-final round on 28th Jan 2022 and will have to work with the exact problem statement provided in the domain of interest. – The final round will be on 29th Jan 2022 (Live Final to be conducted on Google Meet/ On Campus). Winners of the final round will be decided on the basis of performance parameters like accuracy, F1-score, time limit, the computational complexity of the code, use of hardware like Jetson Nano kit, etc. – At least one member of the team should have IEEE SPS membership (preferably, a mentor should be an IEEE SPS member). Else, the participants have to pay INR 500 per team. Guidelines for 3 minutes video: – Work should be unique – Size of video clip should not exceed 200 MB (SD resolution). – More than 30% plagiarism in the code/information/work may lead to the disqualification of the team with disciplinary actions. – Video clip should clearly explain the work with the associated code and the results – Clearly mention the problem for which the problem is solved and the corresponding dataset used. – Time limit of 3 minutes has to be maintained – Video clip submission format: (.mp4) Problem Statements: 1) Forecasting Problem – Time series forecasting can be framed as a supervised learning problem. Similarly, there are many areas like public health systems or crop diseases timely prediction will save the damage or loss in future span. 2) Biomedical Signal Classification – Biomedical signals are signals primarily used to diagnose or detect specific pathological or physiological conditions. There are different biomedical signals including the electroencephalogram (EEG), the electrocardiogram (ECG), the electromyogram (EMG), the electroneurogram, the electroretinogram and so on. 3) Optical Character Recognition – Recognizing characters of any language has been a challenging task in the field of Machine Learning. 4) Digital Image Security – security of images containing critical personal information is utmost important. Typically, an image can be secured with any of the mechanisms’ viz. cryptography, steganography, watermarking, reversible watermarking. Agenda: BE/B-Tech/BCA/B.Sc.(IT) and CO)ME/MTech/MCA students are invited to compete at the national level in a project competition. The competition’s goal was to encourage aspiring technocrats to apply their technical knowledge to develop and demonstrate application-oriented working models in the field of Data Science. Virtual: https://events.vtools.ieee.org/m/299618