Background

In law enforcement, legal processes, and customer service, mobile call recordings often hold critical information. Yet, manually transcribing and analysing hours of call data is slow, error-prone, and resource-intensive. There is a need for an AI-based system that can automatically convert voice calls into accurate, searchable text while extracting actionable intelligence or business insights.

Problem Statement

There is currently no efficient solution which is scalable, multilingual, and privacy-compliant solution that can automatically transcribe and analyse call recordings. Law enforcement, investigative agencies, and businesses struggle to analyse voice data at scale or convert it into structured intelligence.

Key Objectives

• Reduce manual transcription workload
• Make voice data searchable and analysable
• Support real-time intelligence and faster decision-making
• Maintain strong privacy and compliance standards

Functional Requirements

Design and build a secure, AI-powered application (desktop, mobile, or cloud-based) that can automatically transcribe mobile call recordings into text and provide intelligent tagging, emotion recognition, and keyword analytics.

Core Functionalities:

1. Speech-to-Text Conversion:

• Real-time or batch transcription of phone call audio
• Support multiple languages (e.g., Hindi, Gujarati, English)
• High accuracy even with background noise or low-quality audio

2. Intelligence Extraction:

• Auto-detect and tag important keywords, names, topics, or threat indicators
• Perform sentiment/emotion analysis (anger, urgency, stress)
• Highlight unusual or actionable patterns in conversation

3. Data Storage & Search:

• Securely store transcriptions with metadata (caller ID, date, time, duration)
• Enable full-text search, filtering, and categorization by topic or speaker
• Role-based access and encryption to ensure data privacy and compliance

4. Insights:

• Provide transcription services for legal needs
• Offer analytics dashboards for CRM improvement, fraud detection, or regulatory compliance
• Export reports in PDF, CSV, or JSON formats

Optional Bonus Features

• Speaker diarylation (who said what)
• Noise reduction and audio enhancement
• Integration with mobile call log or VOIP systems
• Live alerts on sensitive keywords or threats
• Consent/legality check system for recordings

Target Users

• Law Enforcement & Intelligence Agencies – for case building and evidence review
• Legal & Investigative Services – for creating official transcripts
• Businesses & Telecoms – for compliance, CRM, and analytics
• Journalists & Researchers – for data collection and interviews

Evaluation Criteria

• Accuracy and speed of transcription
• Effectiveness of keyword detection and sentiment tagging
• UI/UX simplicity and usability
• Privacy safeguards and legal compliance

Bonus Points

• Real-time transcription demo with multilingual input
• Visualization dashboard (emotion trend, keyword frequency, call heatmap)
• Lightweight design for mobile or low-bandwidth environments
• Blockchain or hash-based audit log for forensic use