In Bangladesh, 76% of women face violence, yet 62% never report it. Fragmented documentation and complex laws prevent 92.6% of survivors from seeking legal justice.
In Bangladesh, frontline workers currently document Gender-Based Violence (GBV) through manual, handwritten notes during high-stress interviews, a process that leads to fragmented reports and lost evidence. Aainbondhu replaces this messy field reality with a structured, four-step digital workflow that ensures every detail is captured and actionable. The process begins with secure live recording where audio is processed in fifteen-second chunks to ensure stability and accuracy. As the survivor speaks, the AI performs live transcription and automatically detects specific GBV events, such as physical assault, threats, or dowry demands. Once the session ends, workers use the dashboard to review the full transcript and individual event “chunks,” where they can edit details or delete inaccuracies to maintain a verified factual record. The system then uses these verified events to automatically map the case to relevant legal frameworks, such as the Dowry Prohibition Act 2018 or Domestic Violence laws, explaining why each specific act is relevant to the incident. Finally, Aainbondhu generates a structured Incident Analysis Report that includes immediate, life-saving recommendations. These include calling emergency numbers like 999 or 109, visiting One-Stop Crisis Centers (OCC), and filing a First Information Report (FIR). By turning raw conversation into organized data, Aainbondhu ensures that the 92.6% of survivors who currently lack legal justice can finally access the protection they are legally entitled to.