Dhruv Tambekar

Multi-Source Data – Merges purchase history, demographics, and trends for accurate predictions. Personalized Recommendations – AI suggests retail outlets based on shopping behavior. Predictive Store Placement – Identifies profitable store locations using demand analysis. Foot Fall Predictor-Helps to predict Foot fall for Particular Store Sales Forecasting – Predicts sales trends to optimize inventory and staffing. Geospatial Analytics: Use geospatial data + heatmaps to visualize high-demand areas and suggest store placement. Sentiment Analysis: Scrape social media reviews to gauge customer perception of different stores. AI Chatbot for Personalized Offers: A chatbot integrated with WhatsApp/SMS to suggest nearby stores and personalized deals.

⚠ The Problem In many places, the process of filing a complaint or FIR with the police is slow, unclear, and unsafe. People often face: Long delays or no updates after filing FIRs getting changed or removed due to outside pressure No real-time updates on how their case is going Difficulty in sharing photos, videos, or voice recordings as evidence Fear of being identified or targeted due to lack of privacy