Category: All Projects

IMELD AI

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Project Overview

  • Project: Generative-AI powered L&D platform for enterprises
  • Domain: Ed-Tech
  • Client: UK-based Ed-tech company
  • Problem Statement: Today, almost all L&D platforms consist of pre-recorded videos or text content, which inherently lack immersion, measurability, and flexibility. The client company has reached out to us with an idea to build an enterprise-grade Immersive Learning & Development platform.
  • Solution Offered: We have designed & developed an L&D platform with Generative AI models at its core to provide an Immersive learning experience as a unique selling proposition and a key differentiator compared to all other products in the market

 

Features

  • Multiple training modules powered by Generative AI
  • Natural conversation with digital avatars
  • Cloud-based multi-org, multi-user management system
  • High-concurrency application catering to 1000+ users
  • Robust, stable, and scalable technical architecture
  • Dashboard & Analytics

 

Tech Stack

  • Front End: Nextjs, Shadcn
  • Backend: Python FastAPI
  • Generative AI: Azure OpenAI, Prompt Engineering
  • Database: Azure CosmosDB (MongoAPI)
  • Cloud: Azure Virtual Machines, Kubernetes
  • DevOps: Nginx, Uvicorn, Docker








Talent Suite

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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

TRINITI

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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.