Real Projects. Real Impact.
A deeper look at the products we've built — the challenges, our solutions, and the results that followed.
DevMinds Learning
AI Adaptive Learning Platform
modules/day
Challenge
Neurodivergent children (autism & ADHD) require personalized learning paths that adapt in real time — something off-the-shelf LMS platforms can't deliver.
Our Solution
Multi-AI system integrating Claude, Gemini, and OpenAI behind a unified orchestration layer. Adaptive difficulty engine across 4 proficiency levels. BullMQ-powered job queues handle 1,000+ module tasks daily.
Key Results
- Multi-AI architecture with seamless provider failover
- Adaptive difficulty engine across 4 proficiency levels
- 1,000+ modules processed daily via BullMQ pipelines
- Personalized learning paths for neurodivergent children
Feel Your Best
Full-Stack Wellness Platform
lines of code
Challenge
A wellness company needed a unified platform spanning a patient-facing app, provider dashboard, admin portal, and marketing site — all from a single codebase.
Our Solution
78,000+ LOC monorepo serving all 4 applications with shared business logic. 4-tier RBAC, real-time booking, Razorpay payments, and push notifications built from scratch.
Key Results
- 78,000+ LOC monorepo serving 4 applications
- 4-tier RBAC with granular permission control
- Razorpay payments with 99.9% transaction success rate
- 40% faster API response times after optimization
Copper
AI-Powered Online Proctoring
less manual review
Challenge
Online exams compromised at scale. Needed real-time proctoring for 1,000+ concurrent sessions without manual reviewers for every flag.
Our Solution
Real-time proctoring engine combining facial recognition with behavioral analytics. Monitors 50+ data points per session — gaze tracking, tab switches, audio anomalies, multi-angle video.
Key Results
- Real-time facial recognition + behavioral analytics
- Automated flagging across 50+ data points per session
- 1,000+ concurrent users with multi-angle video feeds
- 80% reduction in manual review time
Veda
AI Recruitment Agent
less manual hiring
Challenge
60+ hours per week on manual resume screening, interview scheduling, and candidate communication. Needed AI to handle the top of the funnel autonomously.
Our Solution
Multi-agent architecture with 12+ specialized LLM sub-agents handling resume parsing, skill extraction, fit scoring, scheduling, and communication. Direct Calendar, Slack, and email integration.
Key Results
- 12+ specialized LLM sub-agents working in concert
- Automated screening with intelligent fit scores
- Calendar + Slack + email integration
- 80% reduction in manual hiring workload
Insta Insights
Instagram Reels Analysis
accuracy
Challenge
No way to deeply analyze what makes a Reel perform well. Surface-level metrics don't explain why content resonates — or how to replicate success.
Our Solution
Analysis engine combining GPT-4 with custom ML models. Breaks down Reels across engagement patterns, hook effectiveness, pacing, and retention. Generates scripts in the creator's tone.
Key Results
- GPT-4 + custom ML for multi-dimensional analysis
- 25+ reels analyzed per session at 95%+ accuracy
- Script generation matching the creator's voice
- Deep engagement insights beyond surface metrics
Smart LMS
Enterprise Learning System
scale increase
Challenge
Existing LMS for 4,000 students was buckling under growth. Page loads exceeded 8 seconds. Couldn't handle concurrent usage beyond a few hundred sessions.
Our Solution
Re-architected for horizontal scalability — Redis caching, query optimization, CDN strategy. Real-time collaboration rebuilt on WebSockets. Unified push notifications across web, iOS, Android.
Key Results
- Scaled from 4,000 to 50,000+ concurrent students
- Rich text editor with real-time collaboration
- Unified push notifications across all platforms
- 12x scale increase with zero downtime
AI Counsellor
AI-Powered Counselling System
cost reduction
Challenge
Counselling entirely dependent on human availability — long wait times and high operational costs. Needed to handle routine sessions at scale.
Our Solution
AI system powered by GPT-4 with real-time speech recognition via Azure Cognitive Services. RAG pipeline using Pinecone + OpenAI embeddings. WebSocket streaming for sub-second responses.
Key Results
- 70% reduction in human counsellor workload
- 77% cost reduction in operations
- Sub-second response times via WebSocket streaming
- RAG pipeline with Pinecone for contextual precision
Blended Learning
AI Lecture Engine
students reached
Challenge
Bottlenecked by instructor availability. Creating video content manually was slow and couldn't keep pace with 10,000+ students.
Our Solution
End-to-end automated lecture pipeline: Whisper for speech, LLMs for content, RVC for voice cloning, SADTalker for avatar animation. Reveal.js for auto-generated slides. AWS for delivery.
Key Results
- 80% reduction in dependency on human instructors
- Scalable delivery to 10,000+ students
- End-to-end pipeline: Whisper, LLM, RVC, SADTalker
- Automated presentations with dynamic styling
Your project could be next
Let's talk about what we can build together. Free consultation, no obligations.