Project Overview

  • Project: Data Ripple
  • Domain: Human Resources
  • Client: Data Ripple
  • Duration: 6+ Months
  • Scope: Design, Development, Deployment, and ongoing maintenance
  • Use Case: Current recruitment process is very manual, time-consuming and involves human effort in screening 100s of candidates.

 

Tech Stack

  • Front End: React + Vite, TailwindCSS
  • Backend: Python Django
  • Generative AI: Azure OpenAI, Prompt Engineering, Conversational AI
  • Database: Azure CosmosDB (MongoAPI)
  • Cloud: Azure Virtual Machines, Kubernetes
  • DevOps: Nginx, Uvicorn, Docker

 

Solution Offered

  • Designed, developed, and maintained a full-stack web application powered by Generative AI and digital avatars.

 

Features

  • Intelligent Role-Based Job Creation and Management
  • Advanced Resume Parsing and AI-Driven Candidate Ranking
  • ElevenLabs-Powered Automated Voice Interviews
  • Comprehensive Human Interview Management (with Co-Pilot Support)
  • Dynamic Candidate Pipeline Visualization and Analytics
  • Multi-Organizational and Multi-User Support
  • Real-time Notifications and Status Updates
  • Scalable and Secure Cloud-Native Deployment

Project Overview

  • Project: Accounts Payables and Receivable automation software (docsee.ai)
  • Domain: Finance
  • Client: Triniti (US-based Manufacturing giant)
  • Duration: 3+ months
  • Scope: Design, Development, Deployment and ongoing maintenance
  • Use Case: Traditional invoice processing softwares are slow, less accurate, and lack customizations and integrations with ERP systems.

 

Tech Stack

  • Front End: React + Vite, TailwindCSS
  • Backend: Python Django
  • Generative AI: Azure OpenAI, Prompt Engineering
  • Database: Azure CosmosDB (MongoAPI)
  • Cloud: Azure Virtual Machines, Kubernetes
  • DevOps: Nginx, Uvicorn, Docker

 

Solution Offered

  • Designed, developed and maintained a full-stack web application powered by Generative AI and digital avatars.

 

Features

  • Easy upload of PDF invoices – no manual entry needed.
  • Automatically extracts key information like vendor, invoice number, date, line items, totals, and taxes.
  • All invoices are stored in an organized, searchable format.
  • Provides quick summaries and insights for better financial decisions.
  • Edit and review extracted information easily and perform various operations on it.
  • Secure and private – your data is protected at every step.
  • Accessible on desktop, tablet, and mobile devices.

Project Overview

  • Project: Multi-Agent Smart Assistant for Collabsuite
  • Domain: Organization productivity and project management
  • Client: US-based startup
  • Duration: 6+ months
  • Scope: Design, Development, Deployment and Ongoing maintenance
  • Use Case: A Multi-Agent framework based Smart Assistant that enables chatting with your project and organisation data.

 

Tech Stack

  • Front End: React + ViteJS, TailwindCSS
  • Backend: Python FastAPI
  • Generative AI: AWS Bedrock, LangChain, LangGraph, Prompt Engineering
  • Database: DynamoDB, OpenSearch, AWS RDS
  • Cloud: AWS Ubuntu VM
  • DevOps: Nginx, Uvicorn, Docker

 

Solution Offered

  • Designed, developed and deployed a multi-agent smart assistant capable of routing user queries to specialised agents that use diverse data sources to draft their response. This response also included insightful visualisations.

 

Features

  • LangGraph multi-agent framework with specialized agents
  • RAG-based Q&A using AWS OpenSearch
  • Natural Language to SQL and Visualisations
  • Conversation management using Redis
  • Agent State management using LangGraph
  • AWS Bedrock to plug and play various LLMs