Current & New Projects

Enterprise customer support workspace featuring multi-tier role-based access control (Admin, Supervisor, Agent), complete ticket lifecycle management, and AI-assisted reply suggestions.

Tech Stack

• Role-based access control with JWT authentication
• Ticket lifecycle workflows (status, priority, assignment)
• Customer message history & private internal notes
• AI-assisted response suggestions via LLM completions

AI-powered legal consultation SaaS platform connecting clients with verified legal practitioners, featuring real-time WebRTC video, chat, and RAG-based AI legal assistant.

Tech Stack

• RAG-based AI chatbot with localized legal retrieval (94% accuracy)
• Real-time video calling via WebRTC and instant messaging
• Appointment scheduling calendar with automated email alerts
• Multi-subdomain architecture and secure client-lawyer portal

Full-stack academic portal for managing student admissions, document verification, postal certificate requests, and automated PDF certificate generation.

Tech Stack

• Student admission workflows and document verification
• Automated background cron jobs for document expiry tracking
• Automated PDF certificate generation with digital stamps
• Role-based admin dashboards with audit logging

Automated attendance tracking and telemetry system with a lightweight PyQt desktop interface, biometric/camera verification, and automated reporting.

Tech Stack

• Biometric and camera verification workflows
• Automated timestamp logging and attendance overrides
• Excel and PDF report generation
• Local database synchronization

Supervised machine learning diagnostic platform predicting clinical disorders from symptom patterns with 92% accuracy, transferred to a local clinic for active screening.

Tech Stack

• Multi-disease supervised classification pipeline
• 92% diagnostic accuracy validated on clinical datasets
• Successfully commercialized and deployed to local clinic
• Lightweight web interface for practitioner screening

Rainfall forecasting, diabetes risk prediction, and NLP next-word sequence autocomplete engines.

Tech Stack

• Rainfall & diabetes prediction using Random Forest (88%+ precision)
• Next-word prediction using NLTK sequence modeling and autocomplete
• Flask API endpoints for real-time model inference