Systems.
Intelligence.
Real impact.

How it works

Object files + linker script → symbol and section layout → ELF executable

• Accepted numeric GNU -O compatibility options while keeping LTO optimization controls independent.
• Guarded ELF/program-header address assignment when a linker script omits those headers from the output layout.
• Reproduced failures and added regression coverage for x86-64, Hexagon, ARM, AArch64, RV32, and RV64 configurations.

The linked PRs record focused validation and expected skips. These were not full-suite runs; review status is listed below.

How it works

PDF pages → BM25 + MiniLM indexes → reciprocal rank fusion → cited answer or source excerpts

• Combined lexical and semantic ranking with reciprocal rank fusion, keeping PDF page references attached to retrieved passages.
• Added retrieval-augmented generation with page-linked citations and a document-excerpt fallback when generation is unavailable.
• Implemented local scope/intent classification using MiniLM embeddings and logistic regression, plus cited research-brief export.

Built around a historical source corpus. Retrieval-quality and latency benchmarks are not claimed; the repository documents provider setup and reproduction.

How it works

Input IR → FastAPI coordinator → replay/model routing + compiler worker → events and evidence ZIP

• Stored run history and ordered events in SQLite, with resumable server-sent events and cancellation.
• Implemented fixed opt, FileCheck, and lit recipes with resource-limited Docker workers and captured artifacts.
• Exported reports and ZIP bundles with input/artifact hashes and worker image identity for reproducible investigation.

The demo uses synthetic replay scenarios and substituted contract tests. Diagnosis is a deterministic evidence summary; autonomous patching is not implemented.

How it works

RSS → cleanup and ranking → saved articles → model or template draft → text/PDF export

• Implemented RSS ingestion, URL/title-similarity deduplication, heuristic ranking, and a process-local cache.
• Added bookmarks and stored scripts with short/long formats backed by Prisma and SQLite.
• Integrated optional Gemini/OpenAI generation with a local template fallback, plus copy, text, and PDF exports.

Ranking uses heuristic signals, including synthetic engagement inputs. The assistant uses article metadata as context rather than a vector retrieval pipeline.

How it works

Manual timer + activity signals → focus state → SQLite → pet, charts, and history

• Built pause/resume focus timers with partial-session recording and a tray interface.
• Added daily charts, 7/30-day history, a 12-week calendar, CSV exports, and persistent XP/streaks.
• Stored aggregate durations and sessions locally, with unit tests for focus and persistence behavior.

Activity classification uses personal heuristics. The source contains local setup instructions; a packaged public release is not listed.

How it works

Lesson + visual simulation → editable code → Wandbox output; lesson context → optional AI tutor

• Created data-driven memory/container simulations that explain concepts step by step.
• Connected the editor to Wandbox for C++, C, Java, and Python, separating compiler output from program output.
• Added timed quizzes, a browser-local leaderboard, and sanitized Markdown for assistant responses.

Visualizations are teaching simulations, not execution traces. The tutor receives lesson context directly rather than using RAG.

How it works

Host/player clients ↔ Socket.IO rooms → timers and scoring → answer feedback and leaderboard

• Built separate host and player views with six-character room codes and QR join links.
• Implemented 20-second question timers, time-based points, submission counts, and room-scoped updates.
• Checked duplicate lobby names and repeated answers while keeping scoring on the server.

Rooms are in memory; host disconnection or server restart ends continuity. The public frontend is available; no scale or latency measurements are claimed.

How it works

Command parser → sequential/threaded command classes → filesystem traversal and operations

• Implemented command classes for cd, ls, cp, mv, and rm with recursive directory handling.
• Compared sequential and threaded executables, coordinating listing output with a mutex.
• Included workload-generation and timing scripts to explore filesystem and concurrency behavior.

This is a filesystem interpreter, not a POSIX shell. The README explains the large benchmark workload and implementation limits; no reproducible speedup is claimed.

How it works

Reviews → preprocessing and split → GPT-2 fine-tuning → checkpoint → summary generation

• Prepared review–TL;DR–summary sequences with a custom dataset and data loaders.
• Implemented an AdamW training loop, learning-rate scheduling, checkpoint save/load, and prompt-based generation.
• Included ROUGE/BLEU evaluation code and documented prompt-leakage and batching issues that need correction.

Historical scores are not presented as valid quality measurements. The repository documents reproduction gaps and does not include a packaged inference service.

How it works

PHP/Slim routes → account and property workflows → MySQL + payment/email/PDF integrations

• Built listing creation/editing and filters for location, budget, availability, and amenities.
• Implemented registration, login, email OTP/reset flows, and account views.
• Added Razorpay order creation/signature checks, stored payment records, and TCPDF contract generation.

The repository documents setup and remaining authorization/payment-consistency work. This is a prototype, without a verified production payment deployment.

How it works

PubMed literature → entity cleanup and PMID joins → co-occurrence records → interactive graph

• Organized gene and chemical metadata, joined records by publication, and filtered co-occurring sentences.
• Assigned rule-based interaction labels and exported inspectable research tables.
• Built chemical filters, directed labeled edges, component coloring, and a metadata sidebar with PubMed references.

The graph visualizes prepared relationships; co-occurrence is not causation. The notebooks use environment-specific paths and do not constitute a validated biomedical prediction model.

How it works

Gallery image → 224 × 224 RGB buffer → local MobileNet inference → predicted label

• Built gallery selection, image preview, result display, and reset in a Compose interface.
• Prepared model inputs with resizing and RGB byte-buffer conversion.
• Bundled the TensorFlow Lite model and label assets for local inference.

Uses a pretrained model rather than training a new network. It classifies selected images; device accuracy and latency benchmarks are not claimed.

How it works

Uploaded image → InceptionV3 features → token-by-token LSTM decoding → caption view

• Implemented browser uploads and 299 × 299 image preprocessing.
• Extracted 2,048-dimensional visual features and mapped generated tokens through a vocabulary.
• Rendered generated captions in a Flask web interface with supporting model/vocabulary assets.

The implemented workflow is image-to-caption generation. Reproduction needs legacy dependency and model-path validation; voice synthesis and quality metrics are not claimed.

How it works

Form input → PHP hash or configuration-inspection handlers → structured result views

• Included MD5, SHA, and bcrypt examples alongside dictionary/rainbow-table demonstrations.
• Built result views for HTTP headers, WHOIS, CORS, and clickjacking-related configuration checks.
• Connected input forms, inspection handlers, and result panels in a PHP web application.

Hash lookup demonstrations do not reverse encryption. Individual configuration checks are educational tools rather than a comprehensive security audit.