Canara DACOE-Thon (Data Analytics Centre of Excellence)

2899 Registered Allowed team size: 1 - 5
2899 Registered Allowed team size: 1 - 5

This campaign is over.

Idea Submission
Online
starts on:
Oct 20, 2023, 12:30 PM ()
ends on:
Nov 05, 2023, 06:29 PM ()
Prototype Submission of Shortlisted Ideas
Online
starts on:
Nov 12, 2023, 06:30 PM ()
ends on:
Nov 30, 2023, 06:25 PM ()

Overview

Announcement

Grand Finale was held on 01.01.2024 at Bengaluru

Winner Team Key AI (Bhumika Rana & Tanu Tomar)
First Runner Up Team Radiant Ranger (Ankan Bera)
Second Runner Up Team MetaData (Ekshan Raj Verma)

 

Grand Finale Finalists (Consolation Prizes)
Team Reborn 2.0 (Shriram K V & Giridhararajan)
Team AIOverflow (A Chethan Reddy & Subhanu Sankar Roy)

Shortlisted ideas for prototype phase are mentioned below: 

Name Email Team Name Theme
varada vamsi vamsi.varada669@gmail.com vamsi.varada669_9fff
Build an analytics-based technology solution stack for Customer Experience
       
Ekshan Raj Verma ch20btech11012@iith.ac.in MetaData
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Shriram K V shriramkv@gmail.com
Reborn 2.0
Build an analytics-based technology solution stack for Customer Experience
Giridhararajan girimercury97@gmail.com
       
Ankan Bera eklapothik54@gmail.com Radiant Ranger
Build an analytics-based technology solution stack for Customer Experience
       
Priti Yadav pritiyadav888@gmail.com
pritiyadav888_7186
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Rudra Yadav rudi23114@icloud.com
Rashmi Bisht rashmi.bisht32@gmail.com
       
kishore kunal kishore.1js17cs047@gmail.com kishore.1js17cs047_599f
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Thalirnila thalirnila2@gmail.com
AI wizards
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Preetha preethaabu04@gmail.com
sowmiya Ravanan sowmiyaravanan3@gmail.com
Sowmiya lakshmi sowmya.arun2383@gmail.com
S. Dharanya dharanyasenthil12@gmail.com
       
Uday Mahajan mahajanuday144@gmail.com
BROgrammers
Build an analytics-based technology solution stack for Customer Experience
Shantanu Sakpal shantanuesakpal1420@gmail.com
Sonia D'Silva sonia.dsilva.2003@gmail.com
Harsh Vikas Shetye harsh.shetye2403@gmail.com
abhishek sinha abhishekssinha2003@gmail.com
       
Deepan GK deepan.gk@ajafirm.com deepan.gk_e4b5
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
       
Akshay A S akshay.aa67@gmail.com
Fintech-ids
Build an analytics-based technology solution stack for Customer Experience
Chayan Datta sonicxxx7@gmail.com
       
Amit Siddharth siddharthamit2000@gmail.com
Idea Creators
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Kaviarasan kaviarasan@in22labs.com
Preetham V C preetham@in22labs.com
       
sagarhk sagarhk@canarabank.com SAGAR HK
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Shruti Gupta shrutigupta5555@gmail.com
haxk
Build an analytics-based technology solution stack for Default Prediction & Prevention
Aakash Shrivastava aakashferrari@gmail.com
       
Bhumika Rana bhumu983@gmail.com
Key AI
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Tanu Tomar tomartanu647@gmail.com
       
G Aditya Kumar aditya06112002@gmail.com
404 Found
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Aditi katiyar aditi.katiyar02@gmail.com
Ananya Redhu ananya.redhu2020@vitstudent.ac.in
Prince Choudhary pc16oct@gmail.com
Tisha Patel patelt2526@gmail.com
       
ANANYA JALONHA jalonha.ananya@gmail.com
jalonha.ananya_0695
Build an analytics-based technology solution stack for Customer Experience
Palak Gupta 09palakgupta@gmail.com
Rudri Vasavada rudri10.vasavada@gmail.com
       
Prabha Narayan pn@qkrishi.com pn18_d675
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
       
Abhijeet Singh vayuabhijeet@gmail.com
CyberTrace
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Roshan Dnyaneshwar Padal rdpadal@gmail.com
Yogesh Vishwanath Kute yogeshkute777@gmail.com
Aditya Vasant Dalvi adityadalvi631@gmail.com
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
       
Dhivakar Jacob S dhivakarjacob.s@indianbank.co.in
dhivakarjacob.s_e423
Build an analytics-based technology solution stack for Default Prediction & Prevention
Viswanath M viswanath.m@indianbank.co.in
       
Prasanth.ps prasanth.ps@holosuit.com prasanth.ps_7ac1
Build an analytics-based technology solution stack for Customer Experience
       
RINOSH JACOB KURIAN rinosh.kurian@ultsglobal.com rinosh.kurian_fe64
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
       
Soumyashree Nayak nayaksoumyashree2003@gmail.com
Business Deal
Build an analytics-based technology solution stack for Default Prediction & Prevention
Anish Behuray anishbehuray.work@gmail.com
       
Rakhul K R cenentury0941@gmail.com Precede Gesture
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Chandrachud Pati chandrachudpati@gmail.com Chandrachud23_fafe
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Sayash sayashiitm@gmail.com sayashiitm_a46e
Build an analytics-based technology solution stack for Default Prediction & Prevention
       
Shrikrishna krishnakailasa2000@gmail.com
krishnakailasa2000_c822
Build an analytics-based technology solution stack for Fraud Prevention & Prescription
Keerthana T V keerthanataltaje@gmail.com
S swasthikadevadiga2@gmail.com
       
Harshit Chaurasia c.harshit2102@gmail.com
InsightEdge
Build an analytics-based technology solution stack for Customer Experience
Prateek Pal prateekpal641@gmail.com
Anurag Mishra anurag.fractal.iet@gmail.com
Aarushi Singh aarushisingh2311@gmail.com
Maida Iftikhar Chikan maidaiftikhar8@gmail.com
       
A Chethan Reddy achethanreddy1921@gmail.com
AIOverflow
Build an analytics-based technology solution stack for Default Prediction & Prevention
Subhanu Sankar Roy subhanu12@gmail.com
       
Samanwith KSN samanwith21@gmail.com
GreyLife
Build an analytics-based technology solution stack for Default Prediction & Prevention
Badri Akkala lcb2021029@iiitl.ac.in

Objective of the Hackathon

In line with our bank’s tagline ‘Together We Can’ and our mission to provide State-of-the-Art banking solutions, leveraging technology, aiding Ease of Doing business and enhancing value for all stakeholders through inclusive growth, we are actively implementing a series of strategic measures. One of these initiatives involves bringing together individuals with strong technical backgrounds to collaborate and leverage their skills for problem-solving and the generation of fresh, innovative ideas.

To put this initiative into action, Canara Bank is excited to announce Canara DACOE-Thon (Data Analytics Centre of Excellence) hackathon. Our primary goal is to cultivate high-impact, practical business concepts and innovative product ideas. This hackathon serves as a platform for individuals to work collectively, drawing from their technical expertise, to address real-world challenges and contribute to the advancement of the banking industry. Through this event, we aim to encourage creative thinking and to ultimately develop solutions that enhance the overall banking experience and provide substantial value to our customers and stakeholders.

We welcome you to be a part of this transformative journey.

Timeline

About Canara Bank

Widely known for customer centricity, Canara Bank was founded by Shri Ammembal Subba Rao Pai, a great visionary and philanthropist, in July 1906, at Mangalore, then a small port town in Karnataka. The Bank has gone through the various phases of its growth trajectory over hundred years of its existence. Growth of Canara Bank was phenomenal, especially after nationalization in the year 1969, attaining the status of a national level player in terms of geographical reach and clientele segments. Eighties was characterized by business diversification for the Bank. In June 2006, the Bank completed a century of operation in the Indian banking industry.

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Themes

Build an analytics-based technology solution stack for Customer Experience

The objective is to design and implement an advanced analytics-based technology solution stack within the banking industry to significantly enhance the overall customer experience. By harnessing data analytics, artificial intelligence, and real-time insights, this solution aims to empower the bank to better understand it’s customers, offer personalized services, streamline operations, and proactively address customer needs, ultimately driving customer satisfaction and loyalty. This use case envisions the transformation of present banking methodology into a customer-centric, data-driven industry that adapts to the evolving expectations of today’s customers while ensuring security, compliance, and operational efficiency.

Build an analytics-based technology solution stack for Fraud Prevention & Prescription

The objective is to develop and implement an analytics-based technology solution stack that aims to proactively identify and prevent Transactional frauds on real-time. By leveraging data analytics, artificial intelligence, real-time monitoring, and predictive algorithms, this use case seeks to create a robust framework that safeguards the financial interests of the bank and the customers while maintaining the security and trustworthiness of the banking ecosystem. Ultimately, the goal is to reduce financial losses, protect sensitive data, and maintain the integrity of banking operations.

Build an analytics-based technology solution stack for Default Prediction & Prevention

The objective is to develop and implement an analytics-based technology solution stack for predictive default prediction and preventive measures for bank. By harnessing data analytics, artificial intelligence, and real-time insights, this solution aims to empower the bank to timely predict loan defaults, leading to proactive risk management thereby reducing the financial losses for banks, fulfilling the bank’s commitment to responsible lending. Participants must ensure scalability, data privacy, regulatory compliance and real-world applicability in their proposed solutions.

Prizes

Main Prizes
Winner
INR 2,00,000
Runners-Up
INR 1,50,000
2nd Runners-Up
INR 1,00,000
Special Prizes
First 15 valid submissions get INR 1500 each team (15)
INR 1,500

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