Freelancers using Django in AhmedabadFreelancers using Django in Ahmedabad
ProjectsPeople
Parv Gatecha's avatar
Parv Gatecha
Ahmedabad, India
Passionate Software Engineer and AI Developer
Passionate Software Engineer and AI Developer
Cover image for Network- Twitter clone
Network- Twitter clone
0
14
Cover image for Arbiter — AI Trust &
Arbiter — AI Trust & Evaluation Platform Arbiter is an enterprise-grade AI trust and evaluation platform built to help teams test, secure, monitor, and govern LLM-powered applications before and after they reach production. Modern AI applications can fail in ways that traditional software testing does not easily catch. A prompt change can reduce answer quality, a model upgrade can introduce regressions, an agent can expose sensitive information, or a jailbreak can bypass application-level safeguards. Arbiter provides an infrastructure layer for continuously evaluating and controlling these systems. Core Capabilities LLM Evaluation Automated evaluation of LLM responses against configurable criteria. Support for deterministic and statistical evaluation workflows. Compare different models, prompts, and configurations. Track quality changes across evaluation runs. Statistical analysis using techniques such as the Mann–Whitney U test and bootstrap confidence intervals. Adversarial Testing Test LLM applications against jailbreaks, prompt injection, adversarial prompts, and other failure scenarios. Create repeatable attack suites for regression testing. Run security and reliability checks before deployment. AI Firewall & Policy Engine Acts as a control layer between applications and LLM providers. Inspect prompts and model responses. Apply configurable policies to block, modify, or flag potentially unsafe requests and responses. Provide centralized enforcement rather than implementing safety logic independently in every application. Memory Protection Analyze information being written to or retrieved from AI memory. Apply policies around sensitive information and potentially unsafe memory operations. Reduce the risk of unintended persistence of confidential information. CI/CD Quality Gates Integrate AI evaluation into the software delivery pipeline. Automatically evaluate model or prompt changes before deployment. Fail a deployment when configurable quality, safety, or regression thresholds are not met. Treat AI behavior as something that can be tested continuously rather than manually reviewed after deployment. Observability Track AI requests, responses, evaluation results, policy decisions, and failures. Designed around OpenTelemetry for integration with existing observability infrastructure. Provides visibility into how AI systems behave in real-world usage. Architecture Arbiter is designed as an infrastructure layer around existing AI applications rather than requiring teams to rebuild their applications from scratch. Application → Arbiter Gateway → Policy & Security Layer → LLM Provider Requests can pass through evaluation, policy enforcement, security checks, and observability before reaching the underlying model. Responses can then be evaluated and monitored before being returned to the application. This architecture allows teams to introduce AI governance without tightly coupling their application to a specific model provider. Engineering Focus The project combines: LLM evaluation Statistical testing Adversarial AI security AI governance API gateways Policy engines Memory security CI/CD automation Observability Production AI infrastructure The goal is to move LLM applications from “it works in a demo” toward systems that can be continuously tested, monitored, and controlled in production.
0
33
Cover image for MNIST
MNIST
0
8
Cover image for Movie Recommendations
Movie Recommendations
0
6
Django(1)
Rajgor Darshan's avatar
Rajgor Darshan
Ahmedabad, India
Full-Stack Web Developer | Business Websites& WebApplication
14
Followers
Full-Stack Web Developer | Business Websites& WebApplication
Cover image for Built a full-stack music streaming
Built a full-stack music streaming platform from scratch: Sukh Sangeet 🎵 Users can create personal playlists, add songs via YouTube URLs, import full YouTube playlists, search YouTube directly inside the app, reorder tracks with drag-and-drop, and enjoy a custom queue-based listening experience. Live Project: https://sukhsangeet.tech
1
9
755
Cover image for NetworkAI — AI-Powered Campus Network
NetworkAI — AI-Powered Campus Network Monitoring System A real-time network monitoring dashboard designed to help campus IT teams observe network health, monitor interfaces, and identify potential issues from a single interface. What I built Real-time network monitoring with live interface and system status Network interface analytics showing traffic and connection activity Historical monitoring data for analyzing network behavior over time Live WebSocket communication for continuously updated monitoring data Network controls to start and stop monitoring directly from the dashboard Interactive charts and visualizations for easier interpretation of network metrics Responsive dashboard UI designed for clear monitoring rather than unnecessary complexity FastAPI backend providing REST APIs and WebSocket communication React frontend with a modern monitoring-focused interface Why I built it The goal was to create a practical campus network monitoring system that demonstrates how real-time networking data can be collected, processed, and presented through a modern web interface. Live Demo: https://netwrok-ai-a-campus-monitoring-syst.vercel.app/
2
9
262
Cover image for My Portfolio
My Portfolio
1
9
963
Cover image for Another productive day — this time showcasing my Hand Gestur...
Another productive day — this time showcasing my Hand Gesture Mouse Control project. A Python-based computer vision project that lets you control your computer mouse using hand gestures in real time. 👆 Index finger → Move the cursor 👌 Pinch index + middle finger → Click Built using OpenCV, MediaPipe, NumPy, and AutoPy, with real-time hand landmark detection and gesture tracking. Project: https://github.com/darshan3187/HAND-GESTURE-PROJECT.git
2
8
1.6K
Django(1)
Aniket patel's avatar
Aniket patel
Ahmedabad, India
Scalable cloud apps built to last
Scalable cloud apps built to last
Cover image for IoT communicate
IoT communicate
0
6
Cover image for Partner Ecosystem management
Partner Ecosystem management
0
7
Cover image for IoT commute SDK
IoT commute SDK
0
5
Cover image for Google Analytics Analysis System
Google Analytics Analysis System
0
9
Django(2)
DEEP CHANIYARA's avatar
DEEP CHANIYARA
Ahmedabad, India
Software Engineer
Software Engineer
Cover image for Voice assistant
Voice assistant
0
7
Cover image for SaaS Base Software Development
SaaS Base Software Development
0
6
Cover image for Auto Generate UI
Auto Generate UI
0
6
Placeholder project card media
View more →
Django(1)