Analysis
View
Metric
- 4
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- PythonIn code
- FlaskClaimed
- Google GeminiClaimed
- Node.jsClaimed
- ReactClaimed
1 of 5 appear in the indexed code. 4 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
17 KB
Source files
4
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
asadCoder/rutexbackend
4 files · 17 KB · @ 7b31e5f
Structure
Application logic
4 files · 100%Domain rules, services and shared utilities.
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- Python100%
Share of indexed source by file size. Binary and vendored files are excluded.
Feature verification
Multi-agent route generation pipeline using uAgents/fetch.ai frameworkVerified
Built with fetch.ai (uagents-based multi-agent architecture orchestrating route generation)
Claimed on Devposthigh confidencestarter_agent.py:63— on_rest_post handler orchestrates sending Request messages to AI model, route verifier, and health agents using uagents Agent/Context/Model classesbrain_gemini_agent.py:10— BrainGemini uagents Agent defined with message handlerroute_verifyer_agent.py:19— RouteVeriferAgent and GoogleDirAgent defined as uagents Agents in a Bureauhealth_agent.py:12— HealthAgent defined as uagents Agent with mailbox
Route generation via Gemini AI modelVerified
Built with gemini (AI generates multimodal route options)
Claimed on Devposthigh confidencebrain_gemini_agent.py:32— genai.GenerativeModel configured with gemini-1.5-flash and a system_instruction that defines the JSON route schema; get_base_route calls model.generate_content(prompt)
Route verification via Google Directions APIVerified
Verify route duration and distance using Google Maps/Directions API (route verifier component)
Claimed on readmehigh confidenceroute_verifyer_agent.py:14— googlemaps.Client instantiated with an API keyroute_verifyer_agent.py:109— update_route_with_directions calls gmaps.directions(...) per step to fill in real distance/duration, calories, gas used
Health/steps goal integrationCode-supported
Health agent provides step-goal stats as part of route response (health-aware navigation)
Claimed on readmemedium confidencehealth_agent.py:43— handle_data forwards 'getStepsNeeded' requests to a hardcoded GOOGLE_FIT_AGENT_ADDRESS, but no Google Fit agent code exists in this repo to confirm the steps value is actually computedstarter_agent.py:93— starter agent requests steps needed from HealthAgent and attaches result to route1Info.stepsNeeded, but the response is just whatever raw text HealthAgent relays
Flask backendClaimed only
Built with flask
Claimed on Devposthigh confidenceNode.js componentClaimed only
Built with node.js
Claimed on Devposthigh confidenceReact frontend UIClaimed only
Built with react (user-facing navigation interface)
Claimed on Devposthigh confidenceVoice interaction via DeepgramClaimed only
Built with deepgram (voice input/output for navigation)
Claimed on Devposthigh confidence
An AI agent derived these features from the project’s Devpost page and readme, then searched the code for each one. Verified features are backed by cited code; claimed-only features had no supporting code, which is not by itself proof a feature is missing.
Export this project's context (description, README, evidence, key source files) to chat with an AI agent elsewhere.