Production platform for building and running Gemini Live phone agents. It gives you a dashboard to configure them, Twilio and Plivo call handling, RAG document grounding, saved transcripts, and an external REST API so other products can drive calls.
Gemini Live agents over real telephony (Twilio + Plivo) and a browser test channel
Per-agent RAG document upload, search and prompt generation
External REST API, so other products (CRMs, dialers) run calls through it
PythonFastAPIGemini LiveTwilioPlivo+4
AI · Full-Stack
Featured
LeadCall AI
Multi-tenant outbound-calling SaaS built on the voice-agent platform. Upload a lead list and a pitch document, and Celery workers dial through the platform API, sync transcripts back and keep each tenant’s leads and credentials apart.
Celery dial and callback workers that call through the voice-agent platform API
Pitch documents re-indexed for RAG so the script matches what the client sells
Excel lead import, transcript sync and call-log export on Alembic-migrated PostgreSQL
PythonFastAPICeleryAlembicPostgreSQL+3
AI · Full-Stack
Featured
KisanVoice AI
WhatsApp survey platform that lets farmers answer by voice in their own language. A config-driven language registry covers 24 locales (10 Indian) over Google STT/TTS, with WhatsApp Flows for long option sets, phone-call surveys through the voice-agent platform, and a real-time admin dashboard.
24 locales from a config-driven registry, 10 of them Indian, with no redeploy to add one
Migrated the platform off a Node backend and off Sarvam onto FastAPI + Google STT/TTS
172 of the repo’s 192 commits; Jenkins CI, Docker Compose deploys
PythonFastAPIReactMongoDBWhatsApp Flows+5
ML · Full-Stack
StockSense AI
ML-powered demand-forecasting and stock-optimization platform: safety stock, reorder points, ABC classification and EOQ optimization with interactive dashboards.
Time-series forecasting with LightGBM & Prophet models
Safety stock, reorder points and EOQ / ABC optimization
FastAPI backend with React + Streamlit dashboards
PythonFastAPILightGBMProphetPostgreSQL+3
AI · Full-Stack
Featured
FinGraph AI
Banking assistant over a Neo4j relationship graph. pgvector semantic search finds the relevant customers, loans and chats, Neo4j enriches every match with its relationships, and Groq writes the answer. JWT + bcrypt authentication guards the admin and audit APIs.
Hybrid retrieval: pgvector similarity search enriched with Neo4j relationships
MiniLM embeddings from Hugging Face, answers generated with Groq
JWT + bcrypt authentication, with ADMIN-only admin and audit routes
Node.jsExpressReactNeo4jSupabase pgvector+3
AI
JiraFlow Agent
Agent that picks up a Jira ticket, makes the change in the repository and opens a pull request against it. One branch per ticket, with human review still the merge gate.
Jira ticket → branch → code change → pull request
One ai/scrum-<id> branch per ticket, traceable back to the issue
The agent proposes and a human merges, so it never pushes to main
PythonReactViteJira APIGitHub API+1
AI
Zentrax
FRIDAY-inspired Windows desktop assistant enabling voice commands and gesture-based control, with local LLM execution for privacy-focused automation.
Whisper STT + LLM intent recognition (Ollama)
Gesture control via MediaPipe with fallback pipelines
Real-time WebSocket monitoring dashboard
PythonWhisperMediaPipeWebSocketOllama+1
Full-Stack
TaskFlow
Full-stack productivity app: Spring Boot REST APIs with a DTO-based architecture over PostgreSQL, and a Vite + TypeScript front end.
Clean REST APIs with DTO-based design
PostgreSQL persistence behind Spring Boot
Task prioritization and tracking in a Vite + TypeScript UI
JavaSpring BootViteTypeScriptPostgreSQL
Mobile
GroceryGo
Android grocery-list app built with Kotlin and Jetpack Compose, with Firebase Authentication and Realtime Database behind an MVVM architecture.
Jetpack Compose UI with ViewModel-held screen state (MVVM)
Firebase Authentication and Realtime Database
Final project of my Internshala Android development training