01
J.A.R.V.I.S — NIX
Cloud assistants are subscription-locked, can't touch your OS, and forget everything between sessions.
PythonGemini Live APIPlaywright
15+assistant capabilities Work — 09 projects
Work
Every project below is live code: real screenshots, public repositories and, where they exist, working demos. Open any project for screenshots, the full write-up and its live link.
02
LumoroX Park
City parking is scarce while thousands of private driveways sit empty all day; the original system proved slot allocation but needed a real marketplace around it.
TypeScriptReactSupabase
LiveOpen live site
03
LumoroX
The original collaborative filter proved personalized top-10s, but users still needed a modern surface for mood, search, trending and watchlists.
TypeScriptReactSupabase
LiveOpen live site
04
Sophia — AI Assistant
Existing assistants are shallow — no persistent context, no multi-step task planning.
PythonLLMsPrompt Engineering
Multi-stepplanning and recall
05
Telecom Customer Churn Prediction
Telecom operators lose ~15–25% of subscribers yearly, with no early-warning signal.
PythonScikit-learnXGBoost
87%model accuracy
06
Movie Recommendation System
Cold-catalog discovery: helping users find relevant titles beyond top-N popularity.
PythonSurpriseSVD
18%RMSE improvement
07
Parking Space Management System
Urban lots waste ~30% capacity to poor visibility & manual allocation.
PythonSQLStreamlit
IJCRTpublished research
08
Table Tales
Small restaurants juggle paper menus, phone orders and walk-in table bookings with no single place to manage them.
JavaScriptFirebaseAndroid
Real-timeOpen live site
09
Shilpakala
Regional artisans lack a curated digital surface to showcase their work.
HTML5CSS3JavaScript
Responsiveportable gallery AI Developer
Generative AI Features
LLM-driven flows embedded into Android & web apps with prompt orchestration.
Prompt Engineering
Structured templates, evals, and guardrails for production assistants.
Applied ML
Classification, regression, and recommender systems on real datasets.
Agents & RAG
Currently exploring agents, retrieval-augmented generation, and on-device inference.
GitHub
@Nithin69-k
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