Skip to content
View Mzukulukagogo's full-sized avatar
🏝️
Available
🏝️
Available

Block or report Mzukulukagogo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Mzukulukagogo/README.md

Anesu Masango (@Mzukulukagogo)

Computer science student building backend-focused tools with an emphasis on data processing and system design.

Stack

  • Languages: Python, C, Java, HTML, CSS
  • Tools: Flask, Git, basic CLI

Featured Project

FinSight — Bank Statement Analyser

Parses Indian bank statement PDFs, reconstructs transactions from multi-line formats, categorises spending, and generates a visual dashboard.

Key points

  • Built a custom parser to handle non-linear PDF structures (backward line scanning)
  • Implemented rule-based categorisation with UPI-aware logic for peer transfers
  • Designed a stateless Flask backend with per-request processing
  • Produced summary metrics and trend visualisation using Chart.js

Tech Python, Flask, pdfplumber, HTML/CSS/JS

Repo https://github.com/Mzukulukagogo/FinSight

Direction

Focused on improving backend engineering skills, especially in parsing, data transformation, and building structured APIs.

Contact

anesuryanmasango@gmail.com

Popular repositories Loading

  1. Mzukulukagogo Mzukulukagogo Public

    Config files for my GitHub profile.

  2. Finsight Finsight Public

    Local-first Flask financial analyzer that parses messy bank statements, reconstructs transactions, uses ML for categorization and anomaly detection, and visualizes spending.

    Python

  3. Emoji-Match Emoji-Match Public

    Interactive facial emotion recognition game where players reproduce target emotions using a webcam, with model predictions and session results logged for analysis.

    Jupyter Notebook

  4. SubGen-Local SubGen-Local Public

    A fully local AI-powered subtitle generator using Whisper for automatic speech recognition and timestamped SRT subtitle generation.

    Python