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#254 — Top 78.8%

Ahmedbakr78

Ahmedbakr78

C

Getting there

Overall

0.0

/ 100

01 · Roasts

Ctrl+C, Ctrl+V, Ctrl+Commit

9 out of 12 repos were created and fully pushed on the same day, many within 10–20 minutes. Your git log reads less like a dev diary and more like a homework submission portal at 11:59 PM.

62% Jupyter Notebook Developer

Nearly two-thirds of your codebase is .ipynb files. That's not a language — that's a confession that your 'production code' runs one cell at a time and crashes if you re-run out of order.

Zero Tests, Zero CI, Zero Chill

Across 12 repos, you have HAS_CI=yes exactly 0 times. You've built blockchain voting systems, X-ray fracture detectors, and Big Data pipelines — but GitHub Actions is apparently where you draw the line.

The Name Enthusiast

'secure-blockchain-powered-voting-system-featuring-a-graphical-interface-background-data-auditing' is 104 characters long. Your repo names are more architecturally complex than some of the actual code inside them.

2 Followers, 12 Repos, 1 Fan (You)

With 7 total stars spread across 12 repos and soloPct at 100%, you are your own entire open-source community. At least you're consistent about something.

Built using

Zoral

Shadows one worker for a week, then takes over their job with zero extra setup. Behaves exactly like the original.

zoral.ai

02 · Category breakdown

  • Impact
    25% weight
    68C
  • Consistency
    20% weight
    55D
  • Quality
    20% weight
    57D
  • Depth
    15% weight
    50D
  • Breadth
    10% weight
    65C
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

24 active days

Less
More

Language distribution

6 langs
  • Jupyter Notebook62%
  • Python28%
  • TypeScript7%
  • TSQL1%
  • JavaScript1%
  • Shell1%

04 · Numbers

Owned repos

non-fork

12

Commits

last 12 months

86

Followers

2

Joined GitHub

Oct 2023

05 · Top repos

Ahmedbakr78 /

data-visualization-SpotifyTrends

50/100

Full-stack Spotify analytics dashboard (Python/Plotly Dash + React/TypeScript frontend) with 113k-track dataset, 14 required chart types, multi-control interactivity, and auxiliary search engine. Course project with working dual-app ecosystem shipped in 6 days (14 of 30 commits), 183 MB codebase, typed TypeScript+Pytho

I40Q60D50
READMETyped
TypeScript123d ago

Ahmedbakr78 /

Student-Management-System-was-engineered-with-distinct

44/100

Production-grade FastAPI + React student management system with JWT auth, Redis caching, Prometheus metrics, and comprehensive test suite. TypeScript frontend with Zustand state, detailed architecture in README. Created within last 48 hours (2026-05-06 to 2026-05-07), no external visibility or adoption yet.

I25Q58D50
READMETyped
TypeScript027d ago

Ahmedbakr78 /

engineer-a-production-grade-end-to-end-Big-Data-pipeline-that-demonstrates-advanced-proficiency

37/100

Educational Hadoop MapReduce project demonstrating advanced patterns (DistributedCache, custom partitioners) with structured multi-task design, comprehensive documentation (design.md, ARCHITECTURE.md, STATUS.md), Docker containerization, and data pipeline orchestration via Bash/Python, but minimal adoption and recent c

I25Q50D35
README
Shell128d ago

Ahmedbakr78 /

secure-blockchain-powered-voting-system-featuring-a-graphical-interface-background-data-auditing

36/100

Personal blockchain voting DApp with Solidity contracts, Python tkinter GUI, and custom ERC-20 token. Typed Python, structured src/ layout, README present, tests included (security_test.py, ownership_transfer_test.py), but no CI/CD pipeline.

I25Q50D35
READMETests
Python024d ago

Ahmedbakr78 /

GitHub-ecosystem-mining-app

35/100

Personal data-mining portfolio project with real GitHub API collection, preprocessing, Apriori rules, PageRank/HITS analysis, and BERT text classification. Jupyter-based submission with functional scripts and interactive dashboard, but no real usage signals or adoption beyond a course/portfolio context.

I25Q45D35
README
Jupyter Notebook024d ago

Ahmedbakr78 /

House-Price-Prediction-Customer-Segmentation

35/100

Student ML portfolio project combining house price prediction (XGBoost/LightGBM) and customer segmentation with Streamlit web UI. Typed Python, structured training scripts, and interactive visualizations, but minimal adoption (1 star), no tests, no CI, no license.

I25Q45D35
README
Jupyter Notebook128d ago

Ahmedbakr78 /

Automated-Multi-Modal-X-Ray-Fracture-Crack-Reporting-System

35/100

Academic deep learning project for fracture detection from X-ray images using TensorFlow/Keras with multi-modal input (image + patient factors). Jupyter notebook + Streamlit deployment; 9 commits in 5 days, no tests/CI/license, untyped Python.

I25Q45D35
README
Jupyter Notebook128d ago

Ahmedbakr78 /

5-A-Nevai-Search-Engine

30/100

Early-stage dual-application project (privacy search engine + task manager) with ambitious scope but minimal maturity: 0 stars, fresh dump (1 commit in ~10min), no tests/CI, minimal docs beyond marketing claims, unfinished code samples.

I25Q45D20
README
Python027d ago

Ahmedbakr78 /

MR---Movie-Analytics-Dashboard-Cinematics-Dashboard-

27/100

Jupyter Notebook-based Movie Analytics Dashboard built with Streamlit; 33MB codebase with TMDB/IMDB data analysis, ML clustering, and visualization. Created and pushed same day (May 6, 2026) with minimal commit history. No tests, CI, license, or gitignore.

I15Q45D20
README
Jupyter Notebook128d ago

Ahmedbakr78 /

Data-Security-Secure-Student-Records-Management-System-SRMS-

26/100

Student project implementing SRMS with RBAC, MLS, encryption, and flow control. Shows solid security concepts but lacks tests, CI, production quality, and was completed in a burst (4 commits in 20 minutes).

I15Q42D20
README
Python128d ago

Ahmedbakr78 /

GitHub-Repository-Mining--Advanced-Data-Mining-Project

23/100

Educational data mining pipeline project with 0 stars, 4 commits across single day, untyped Python, missing tests/CI/gitignore. README describes feature-complete academic scope but repo lacks substantive code samples and infrastructure.

I15Q35D20
README
Python018d ago

Ahmedbakr78 /

University-Exam-Management-System-Oracle

23/100

University exam management system in Oracle PL/SQL with 7 SQL scripts. Extremely minimal repository—just 1 fork, 1 star, created 2026-05-06 and last pushed 2026-05-06 (same day). Limited external adoption signal or production use evidence.

I15Q35D20
README
PLSQL128d ago

06 · Timeline

  1. Oct 28, 2023
    Joined GitHub
  2. May 2, 2026
    Created Automated-Multi-Modal-X-Ray-Fracture-Crack-Reporting-System — Automated Multi-Modal X-Ray Fracture & Crack Reporting System
  3. May 6, 2026
    Created engineer-a-production-grade-end-to-end-Big-Data-pipeline-that-demonstrates-advanced-proficiency — end-to-end Big Data pipeline that demonstrates advanced proficiency in distributed computing, data engineering, and automated validation. Rather than relying on a single script or
  4. May 6, 2026
    Created data-visualization-SpotifyTrends — engineer a unified, full-stack software ecosystem that demonstrates advanced proficiency in data engineering, complex API orchestration, artificial intelligence integration, and u
  5. May 6, 2026
    Created Data-Security-Secure-Student-Records-Management-System-SRMS- — Secure Student Records Management System (SRMS) is a database application designed to manage academic data while enforcing five core database security models. The system ensures st
  6. May 6, 2026
    Created MR---Movie-Analytics-Dashboard-Cinematics-Dashboard- — MR - Movie Analytics Dashboard (Cinematics Dashboard) is a comprehensive web-based data analytics platform that provides deep insights into movie financials, audience sentiment, s
  7. May 6, 2026
    Created House-Price-Prediction-Customer-Segmentation — machine learning application that implements two core analytical workflows: Regression Analysis: House price prediction using advanced preprocessing techniques and state-of-the-ar
  8. May 6, 2026
    Created University-Exam-Management-System-Oracle — university Exam Management System using Oracle PL/SQL. It follows a multi‑user architecture with strict separation of duties, robust business logic, and a full suite of database ob
  9. May 6, 2026
    Created Student-Management-System-was-engineered-with-distinct — The Student Management System was engineered with distinct, measurable objectives to overcome common limitations found in monolithic educational software
  10. May 7, 2026
    Created 5-A-Nevai-Search-Engine
  11. May 10, 2026
    Created secure-blockchain-powered-voting-system-featuring-a-graphical-interface-background-data-auditing
  12. May 10, 2026
    Created GitHub-ecosystem-mining-app — GitHub Repository Mining - Advanced Data Mining Web mining and GitHub repository data collection Data preprocessing and feature engineering Association rule mining with Apriori Lin
  13. May 16, 2026
    Created GitHub-Repository-Mining--Advanced-Data-Mining-Project — engineer a reproducible, multi-stage data mining and natural language processing pipeline
  14. May 16, 2026
    Most recent push to GitHub-Repository-Mining--Advanced-Data-Mining-Project

07 · Compare

github.com/
Ahmedbakr78 · 6dmedian coder

08 · Rubric

How this score was produced

Overall = Σ (category × weight) + gentle top-end curve

CategoryWeightScoreContrib.
Raw total55.9
Top-end curve+4.0
Final overall59.9

Tier thresholds

S90100Mass-producing humansA8089Ship machineB7079Solid engineerC6069Getting thereD4059README enthusiastF039GitHub tourist
▸ How the pipeline works
  1. 01Scrape.Pull every non-fork repo pushed in the last 90 days, plus your contribution calendar, followers, and language byte counts — straight from GitHub's REST & GraphQL APIs.
  2. 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
  3. 03Grade each repo. All repos run in parallel through a fast scoring model that reads the picked files and rates each one independently on Impact, Quality, and Depth — with evidence citations.
  4. 04Aggregate. A larger reasoning model combines the per-repo scores with server-computed stats (heatmap, commit cadence, language entropy, follower count) to produce the 6-dimension profile score + roasts.
  5. 05Correct.Deterministic server-side checks enforce anchor-scale floors (e.g. a profile with 2,000+ public commits can't score 30 Consistency) and recompute the final verdict.

~90 seconds per profile, ~$0.25 in compute. Total of ~240 files read across your top-12 repos. One rating per GitHub account per day.

▸ Data sources & caveats
  • Heatmap & commit totals: GitHub GraphQL contributionsCollection — covers the last 365 days, includes private repos when the user has opted in (default).
  • Language %: byte totals across the top 30 owned non-fork repos.
  • Curve: a small upward nudge centered on raw score ≈ 70, capping at 100. Prevents specialists from being unfairly penalised for narrow breadth.
  • Anchor corrections: when server-measured signals (e.g. privateWorkLikely, multiRepoVolume, follower count) mandate a minimum category score, the aggregation step enforces it. These are signal-conditional, not identity-based floors.
Ahmedbakr78 · 59.9/100 — Rate My GitHub