DEV Community: Anupam Singh The latest articles on DEV Community by Anupam Singh (@anupam_45). https://dev.to/anupam_45 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3930949%2F7deadc85-e7e1-41e4-bd81-4ce807ad7a74.png DEV Community: Anupam Singh https://dev.to/anupam_45 en How I Built an AI-Powered Marketplace Dispute Engine Using React, Flask & AWS ๐Ÿš€ Anupam Singh Thu, 14 May 2026 10:56:56 +0000 https://dev.to/anupam_45/how-i-built-an-ai-powered-marketplace-dispute-engine-using-react-flask-aws-1i2e https://dev.to/anupam_45/how-i-built-an-ai-powered-marketplace-dispute-engine-using-react-flask-aws-1i2e <h2> ๐Ÿš€ Introduction </h2> <p>Marketplace disputes are one of the biggest pain points in e-commerce platforms.</p> <p>Most systems still rely heavily on manual workflows:</p> <ul> <li>Customers submit complaints</li> <li>Admins review screenshots and proofs</li> <li>Sellers respond manually</li> <li>Resolution takes days</li> </ul> <p>I wanted to explore how AI and automation could improve this process.</p> <p>So I built an <strong>AI-Powered Marketplace Dispute Engine</strong> using <strong>React, Flask, PostgreSQL, and AWS</strong> that helps automate and streamline dispute resolution workflows.</p> <h2> ๐Ÿง  What the Project Does </h2> <p>The platform allows:</p> <ul> <li>Buyers to raise disputes</li> <li>Sellers to respond with evidence</li> <li>Admins to monitor dispute activity</li> <li>AI workflows to assist in dispute categorization and prioritization</li> </ul> <p>The goal was to create a scalable backend system capable of handling structured dispute workflows efficiently.</p> <h2> โš™๏ธ Tech Stack </h2> <h3> Frontend </h3> <ul> <li>React.js</li> <li>Tailwind CSS</li> </ul> <h3> Backend </h3> <ul> <li>Flask</li> <li>REST APIs</li> <li>JWT Authentication</li> </ul> <h3> Database </h3> <ul> <li>PostgreSQL</li> </ul> <h3> Cloud &amp; Deployment </h3> <ul> <li>AWS App Runner</li> <li>AWS RDS</li> <li>AWS Amplify</li> </ul> <h3> Other Tools </h3> <ul> <li>Git &amp; GitHub</li> <li>Postman</li> <li>AI-assisted workflow experimentation</li> </ul> <h2> ๐Ÿ—๏ธ System Architecture </h2> <p>The workflow looks something like this:</p> <ol> <li>User creates a dispute request</li> <li>Backend validates and stores dispute data</li> <li>Seller receives response request</li> <li>AI workflow helps categorize dispute priority</li> <li>Admin dashboard tracks resolution status</li> <li>Resolution updates are synced in real-time</li> </ol> <p>One of my major goals was keeping the architecture modular and scalable.</p> <h2> ๐Ÿ”ฅ Key Features </h2> <h3> โœ… Secure Authentication </h3> <p>Implemented JWT-based authentication for secure access management.</p> <h3> โœ… Role-Based Access </h3> <p>Different dashboards and permissions for:</p> <ul> <li>Buyers</li> <li>Sellers</li> <li>Admins</li> </ul> <h3> โœ… Real-Time Notifications </h3> <p>Integrated real-time notification workflows to instantly update users about:</p> <ul> <li>Dispute status changes</li> <li>Seller responses</li> <li>Admin actions</li> <li>Resolution updates</li> </ul> <p>This significantly improved user engagement and tracking efficiency.</p> <h3> โœ… Analytics Dashboard </h3> <p>Built an analytics dashboard to monitor:</p> <ul> <li>Total disputes</li> <li>Resolution rates</li> <li>Pending cases</li> <li>Escalation metrics</li> <li>User activity insights</li> </ul> <p>This helps admins better understand platform performance and dispute trends.</p> <h3> โœ… AI-Based Fraud Detection </h3> <p>Implemented AI-assisted fraud detection mechanisms to identify:</p> <ul> <li>Suspicious dispute patterns</li> <li>Repeated fraudulent claims</li> <li>High-risk transactions</li> <li>Unusual user behavior</li> </ul> <p>The system helps prioritize potentially risky disputes for faster review.</p> <h3> โœ… Dispute Tracking </h3> <p>Users can monitor:</p> <ul> <li>Pending disputes</li> <li>Resolved cases</li> <li>Escalated disputes</li> </ul> <h3> โœ… AI-Assisted Categorization </h3> <p>Experimented with AI workflows to:</p> <ul> <li>Identify dispute type</li> <li>Prioritize urgent cases</li> <li>Improve admin efficiency</li> </ul> <h3> โœ… Cloud Deployment </h3> <p>Deployed the application using AWS services for scalability and reliability.</p> <h2> โ˜๏ธ AWS Services Used </h2> <h3> AWS Amplify </h3> <p>Used for frontend deployment and hosting.</p> <h3> AWS App Runner </h3> <p>Handled backend container deployment with simplified scaling.</p> <h3> AWS RDS </h3> <p>Managed PostgreSQL database hosting.</p> <p>Working with cloud deployment taught me a lot about:</p> <ul> <li>Environment variables</li> <li>Deployment pipelines</li> <li>Backend connectivity</li> <li>Production debugging</li> </ul> <h2> ๐Ÿšง Challenges I Faced </h2> <p>Like every real-world project, this one came with challenges.</p> <p>Some major ones were:</p> <ul> <li>Handling authentication securely</li> <li>Managing API communication between frontend and backend</li> <li>Database relationship design</li> <li>Deployment configuration issues</li> <li>Backend service connection with PostgreSQL</li> <li>Debugging production errors on AWS</li> </ul> <p>A lot of time went into debugging deployment and API issues rather than writing features ๐Ÿ˜…</p> <h2> ๐Ÿ“š What I Learned </h2> <p>This project helped me gain practical experience in:</p> <ul> <li>Full-stack development</li> <li>Cloud deployment</li> <li>Backend architecture</li> <li>Database design</li> <li>API development</li> <li>Authentication systems</li> <li>AI-assisted workflows</li> </ul> <p>More importantly, it taught me how real production systems require much more than just writing code.</p> <h2> ๐Ÿ”ฎ Future Improvements </h2> <p>Some features Iโ€™d like to add next:</p> <ul> <li>AI-generated dispute summaries</li> <li>Payment gateway integration</li> <li>Multi-language support</li> </ul> <h2> ๐ŸŒ Project Links </h2> <h3> ๐Ÿš€ Live Demo </h3> <p><a href="https://www.disputeengine.tech" rel="noopener noreferrer">View Live Project</a></p> <h3> ๐Ÿ’ป GitHub Repository </h3> <p><a href="https://github.com/ANUPAM4545/MarketPlace-Dispute-Engine" rel="noopener noreferrer">View Source Code</a></p> <h2> ๐Ÿ“ธ Project Screenshots </h2> <h2> ๐Ÿ“Š Admin Dashboard </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhw5busb2ure4l98dq5xi.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhw5busb2ure4l98dq5xi.png" alt="Marketplace Dispute Engine Dashboard" width="800" height="433"></a></p> <h2> ๐Ÿ“ˆ Analytics Dashboard </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fb0uq9splrj2vidribryz.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fb0uq9splrj2vidribryz.png" alt="Analytics Dashboard" width="800" height="411"></a></p> <h2> โœจ Platform Features </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8vetb8nf0d8mw647fngl.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8vetb8nf0d8mw647fngl.png" alt="Features" width="800" height="434"></a></p> <h2> โœจ Pricing Screenshot </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fowfklfaixtoe86efqv92.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fowfklfaixtoe86efqv92.png" alt="Pricing" width="800" height="442"></a></p> <h2> ๐Ÿ’ก Final Thoughts </h2> <p>Building this project was a great learning experience because it combined:</p> <ul> <li>Full-stack engineering</li> <li>Cloud infrastructure</li> <li>Backend systems</li> <li>AI experimentation</li> </ul> <p>Iโ€™m still improving the platform and exploring new ideas around AI-powered automation systems.</p> <p>Would love to hear feedback or suggestions from the community ๐Ÿš€</p> <h2> Tags </h2> <h1> ai #aws #react #flask </h1> ai aws react showdev Top Apps Every CS & AI/ML Student Should Have in 2026 ๐Ÿš€ Anupam Singh Thu, 14 May 2026 10:13:57 +0000 https://dev.to/anupam_45/top-apps-every-cs-aiml-student-should-have-in-2026-2pbj https://dev.to/anupam_45/top-apps-every-cs-aiml-student-should-have-in-2026-2pbj <p>Every CS &amp; AI/ML Student Needs the Right Apps in 2026 </p> <p>As a Computer Science student, your smartphone can become much more than just a social media device.</p> <p>It can be your:</p> <ul> <li>Coding lab</li> <li>AI assistant</li> <li>Research center</li> <li>Productivity hub</li> <li>Career growth tool</li> </ul> <p>Over the last few months, Iโ€™ve explored dozens of apps for coding, AI, productivity, and staying updated with tech trends.</p> <p>Here are the best ones every CS or AI/ML student should seriously consider using in 2026.</p> <p>๐Ÿค– 1. AI Assistants</p> <p>These apps can dramatically improve your learning speed.</p> <p>ChatGPT<br> Best for:</p> <ul> <li>Debugging code</li> <li>Learning concepts</li> <li>Resume help</li> <li>Project ideas</li> <li>Interview prep</li> </ul> <p>Honestly one of the most useful tools for students right now.</p> <p>Claude<br> Amazing for:</p> <ul> <li>Long explanations</li> <li>PRDs</li> <li>Documentation</li> <li>Deep reasoning</li> <li>Architecture discussions</li> </ul> <h3> Perplexity </h3> <p>Perfect for:</p> <ul> <li>Research</li> <li>Latest AI news</li> <li>Finding sources quickly</li> </ul> <p>๐Ÿ’ป 2. Coding &amp; Experimenting Apps<br> Replit<br> A powerful cloud coding platform that lets you code directly from your phone or browser.</p> <p>Great for:</p> <ul> <li>Quick prototypes</li> <li>Hackathons</li> <li>Testing APIs</li> <li>Learning new languages</li> </ul> <h3> GitHub </h3> <p>Every CS student should actively use GitHub.</p> <p>Use it for:</p> <ul> <li>Hosting projects</li> <li>Open source</li> <li>Portfolio building</li> <li>Collaboration</li> </ul> <p>๐Ÿ“š 3. Best Apps for AI/ML Students</p> <h3> Kaggle </h3> <p>Essential for:</p> <ul> <li>Datasets</li> <li>Competitions</li> <li>ML notebooks</li> <li>Learning real-world AI workflows</li> </ul> <p>Hugging Face<br> A goldmine for:</p> <ul> <li>Open-source AI models</li> <li>Demos</li> <li>NLP tools</li> <li>LLM experimentation</li> </ul> <h3> Google Colab </h3> <p>Perfect for running Python notebooks using cloud GPUs.</p> <p>A must-have for machine learning students.</p> <p>๐Ÿ“ฐ 4. Stay Updated With Tech</p> <p>Technology changes insanely fast.</p> <p>These platforms help you stay ahead.</p> <p>Reddit<br> Best communities:</p> <ul> <li>r/MachineLearning</li> <li>r/LocalLLaMA</li> <li>r/programming</li> <li>r/webdev</li> </ul> <h3> X (Twitter) </h3> <p>Most AI and startup news appears here first.</p> <p>Following engineers, founders, and researchers can teach you a lot.</p> <p>DEV Community<br> One of the best places for developers to:</p> <ul> <li>Share projects</li> <li>Learn publicly</li> <li>Read engineering blogs</li> <li>Connect with builders</li> </ul> <p>๐Ÿ“ˆ 5. Productivity Apps</p> <h3> Notion </h3> <p>My favorite app for:</p> <ul> <li>Project planning</li> <li>Notes</li> <li>Internship tracking</li> <li>Learning roadmaps</li> </ul> <p>Obsidian<br> An amazing โ€œsecond brainโ€ app.</p> <p>Great for:</p> <ul> <li>DSA notes</li> <li>System design</li> <li>AI concepts</li> <li>Connected knowledge graphs</li> </ul> <h3> Google Calendar </h3> <p>Underrated but powerful.</p> <p>Helps manage:</p> <ul> <li>Deadlines</li> <li>Interviews</li> <li>Study schedules</li> <li>Meetings</li> </ul> <p>๐Ÿ’ผ 6. Career &amp; Interview Preparation</p> <p>LinkedIn<br> Start building your online presence early.</p> <p>Post:</p> <ul> <li>Projects</li> <li>Learnings</li> <li>Internship experiences</li> <li>Tech insights</li> </ul> <p>LeetCode<br> Still one of the best platforms for coding interview prep.</p> <p>Internshala / Wellfound<br> Excellent for:</p> <ul> <li>Internships</li> <li>Startup jobs</li> <li>Remote opportunities</li> </ul> <p>๐Ÿ”ฅ Final Thoughts</p> <p>The students growing fastest right now are usually doing these things consistently:</p> <ul> <li>Building projects</li> <li>Using AI tools smartly</li> <li>Learning in public</li> <li>Staying updated</li> <li>Networking with developers</li> </ul> <p>You donโ€™t need every app on this list.</p> <p>But choosing the right tools can massively improve:</p> <ul> <li>Productivity</li> <li>Learning speed</li> <li>Coding skills</li> <li>Career growth</li> </ul> <p>If I had to recommend only 5 apps for CS students, Iโ€™d choose:</p> <ol> <li>ChatGPT </li> <li>GitHub </li> <li>Replit </li> <li>Notion </li> <li>Kaggle </li> </ol> <p>What apps do you think every developer student should have?</p> <p>Let me know ๐Ÿ‘‡</p>