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Computer Science Engineering Student
Academics
My educational background
Birla Institute of Technology
Relevant Coursework
Technologies
Technologies I work with
Projects
Some of my recent work
An intelligent rating system that empowers sellers to set minimum buyer rating thresholds, automatically declining orders from low-rated buyers. This innovative approach helps Amazon identify and promote trusted buyers while giving sellers more control over their business relationships.
Key Features:
- ▶Sellers can set numeric rating thresholds (0-5 stars) for automatic order filtering
- ▶Real-time buyer credibility assessment and verification system
- ▶Enhanced seller dashboard with comprehensive buyer analytics
- ▶Automated order management based on predefined rating criteria
- ▶Trust score calculation algorithm for improved marketplace reliability
Technologies:
Revolutionary delivery option allowing customers to inspect items before final acceptance. Leverages Gemini Vision Pro AI to analyze product discrepancies in real-time, comparing shipping photos with delivery photos to detect tampering and reduce return fraud.
Key Features:
- ▶Real-time product inspection during delivery with AI-powered analysis
- ▶Gemini Vision Pro integration for intelligent image comparison and discrepancy detection
- ▶Instant reporting system for product inconsistencies and damage assessment
- ▶Advanced computer vision algorithms to identify tampering and authenticity issues
- ▶Comprehensive fraud prevention system reducing return fraud by up to 15%
Technologies:
Advanced AI-powered system using Gemini Vision Pro and custom NLP models to identify and flag fraudulent reviews. Features sophisticated analysis algorithms that protect customers from misleading feedback while ensuring only verified buyers can submit authentic reviews.
Key Features:
- ▶Advanced NLP model trained to detect fraudulent review patterns and suspicious language
- ▶Gemini Vision Pro integration for comprehensive review authenticity analysis
- ▶Real-time fraud detection capable of flagging up to 310 million fake reviews annually
- ▶Verified buyer authentication system ensuring review legitimacy
- ▶Intelligent sentiment analysis and behavioral pattern recognition
Technologies:
Interactive pathfinding algorithm visualizer that attracted 1000+ monthly interactions, helping users explore and understand complex pathfinding algorithms through stunning real-time visualizations and educational content.
Key Features:
- ▶Implemented 8+ pathfinding algorithms including Dijkstra's, A*, BFS, and DFS
- ▶Achieved 100% accuracy in shortest-path algorithm implementations
- ▶Enhanced performance to handle 2,000+ concurrent users with smooth animations
- ▶Optimized visualizations reducing computation times by 20% for real-time feedback
- ▶Interactive grid system with customizable obstacles and start/end points
Technologies:
Achievements
Recognition and accomplishments
Top 9 Finalist - Amazon HackOn 2025
Selected as a Top 9 Finalist out of 12,000+ teams in Amazon HackOn 2025 for developing an AI-powered trust and safety solution to combat fake reviews and fraudulent returns.
Second Runner-Up - Aanvikishiki Case Study Competition
Secured Second Runner-Up position among 100+ teams by delivering a comprehensive solution on profit maximization strategies for startups.
Highest SGPA in Department
Achieved the Highest SGPA in the department during the first semester.
Contact Me
Let's connect and discuss opportunities
Location
Jaipur, Rajasthan, India
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and innovation.
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