✅Our Paper: "Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification" is accepted at the KDD conference.

Projects

Smart Banking Assistant with Robotic Process Automation

Smart Banking Assistant, AVA, provides 24/7 hour banking service to the valuable customers in order to retain their satisfaction. Through AVA, customers can get their account information and perform secure transaction in an encrypted channel.

Technology/Aspect:

Modules: Account Information & General Banking Information.
Technology: React, Angular, Python, Flask, MySQL
ML Technology: Word2Vec Models, Gensim Library, Google Dialogflow.
Client : Alternative Delivery Channel department, Bank Asia

Smart Agent Banking with Biometric Authentication

To ensure the banking facilities at the doorsteps of rural and sub-urban people, I have developed several modules of Agent Banking application and incorporated ISO standard biometric authentication in it. At present, more than 3 million transactions are being processed through this application per day.

Technology:
-------------------

1. Programming Language: Java (Spring Boot), Oracle PL/SQL.

2. Application Module: School Banking, Cash Transaction, Loan Disbursement & Repayment.

3. Biometric Device:Futronic fs-80 , SecuGen Hamster Pro, Digital Persona (ISO & ANSI Standard).

4. Client: Bank Asia, NRB Bank, United Commercial Bank, City Bank.

5. Award: Best Performer, awarded by S. M. Akhter Hamid, Managing Director, Grameen Bank.

Credit Scoring Using Financial & Meta Data

With the introduction of Basel II and Basel III compliance guidelines, the need for accurate credit risk computation has steadily increased. Thus, we have developed a real-time instant nano-loan solution that aims to score the credit capability of an individual using financial & phone metadata and approves loan application in a moment of time.

Technology:
-------------------

Programming Lanuage: Angular, Android, Python, Flask, MySQL
ML Framework: NumPy, Pandas, Keras, Scikit-learn, TensorFlow.
Data types: Location data, Contact data, Call data, Payroll data, Loan data etc.
Award: Received Honorable Mention in 3rd Bangladesh Fintech Award-2023.
Client: Live as Digital Nano Loan mobile application in Bank Asia.
Media: The Financial Express, The Daily Star

Remittance Processing System

To ease the remittance processing, we have developed remittance processing system where both in-ward
remittance and out-bound remittance can be processed. Through a common middleware service, we connect
multiple exchange house including MoneyGram, Western Union etc. At present, more than US$ 1 Billion remittance
per year is being processed through our application at Bank Asia.

Technology/Aspects:
=================
1. Programming Language: Angular, Java(Spring Boot), Oracle.
2. Application Module:
2. 1 Digital Dashboard, Exchange House Setup, Fund Management, Central Bank Report.
2.2 File Processing, Reconciliation, Treasury Module for prefunding NRT Account.
3. In-ward Remittance: MoneyGram, Western Union, Ria Money Transfer, Transfast, URemit.
5. Client: Bank Asia, NRB Bank.
6. Third Party Interface: Agent Banking, CBS, AML, BEFTN, Mobile Wallet (Bkash).

Remittance Automation using Robotic Process Automation

We have automated remittance processing using robotic process automation. This system is live in Bank Asia Remittance Application.

Front End Framework: Angular

Back End Framework: Python Flask

Database: MySQL

Web Scrapping: Selenium

ATM Middleware Interface

I have developed ATM middleware for the smooth running of ATM services for the banking sector in
Bangladesh. At present, this solution is running in all ATM booths of NRB Bank throughout the country.

Technology: Java Swing, Socket, Rest API, Oracle PL/SQL, MySQL.
Message Protocol: ISO-8583 Standard for communication from ATM Machine Switch Board to Middleware.
Client: All agent Outlet of NRB Bank, Bangladesh.

Face Recognition Solution For Payment System

I have integrated the face recognition system with the Bank Asia payment gateway. People can

perform their banking activities through their faces.

Technology:

Front End: Android

SDK: Neurotech Face SDK, OpenCV

Backend Framework: J2EE , Servlets

Database: Oracle

Queue Management Solution

I have developed the Queue management solution in Java for the service centers of Walton. This
solution is now live in almost all service centers of Walton.

Technology:
------------------

1. Programming: Java SE, J2EE, MySQL, Android
2. Module: Customer appoinment, Waiting time management, feedback collection.
3. Client: This application is live in all service centers of Walton, Bangladesh.
4. Award: Awarded by S M Monjurul Alam Ovee, Director of Walton for digital transformation.

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