Freelancers using FastAPI in New DelhiFreelancers using FastAPI in New Delhi
ProjectsPeople
AKASH VASHISHTHA's avatar
AKASH VASHISHTHA
proDelhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
118
Followers
TOP_INDEPENDENT

Top

Versatile Fullstack Engineer | Web & Mobile Expert
Cover image for PriceRipper - Price Comparison Website
PriceRipper - Price Comparison Website
1
103
Cover image for Realm - Social Media Platform for Music Producers and Artists
Realm - Social Media Platform for Music Producers and Artists
1
147
Cover image for TestBest | LSAT® Prep & Tutoring
TestBest | LSAT® Prep & Tutoring
2
165
Cover image for Légacie Phase 1
Légacie Phase 1
0
22
FastAPI(1)
Jagwinder Singh's avatar
Jagwinder Singh
Delhi, India
Full Stack Developer
22
Followers
Full Stack Developer
Cover image for AI Resume Screening | Candidate
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
1
251
Cover image for Multi-Vendor E-Commerce Marketplace Designed and developed
Multi-Vendor E-Commerce Marketplace Designed and developed a scalable multi-vendor e-commerce marketplace connecting customers, sellers, and administrators through a unified platform. Overview A modern marketplace platform built for multiple independent vendors, allowing sellers to manage products, inventory, orders, pricing, and fulfillment, while customers can discover products, compare options, purchase securely, and track their orders. Key Features - Multi-vendor seller registration and onboarding - Seller dashboards with products, inventory, orders, and sales - Advanced product catalog with categories, variants, attributes, and pricing - Powerful search, filtering, sorting, and product discovery - Product details, reviews, ratings, wishlist, and saved items - Shopping cart and secure checkout - Multiple payment methods and automated vendor payouts - Order management and real-time order status - Customer accounts, addresses, order history, and tracking - Vendor storefronts and profiles - Promotions, coupons, discounts, and featured products - Admin dashboard for users, vendors, products, orders, payments, and commissions - Vendor commission and revenue management - Responsive design across desktop, tablet, and mobile - Scalable architecture prepared for large product catalogs and growing traffic UX & Design The interface was designed around a clean, conversion-focused shopping experience inspired by leading marketplaces such as Amazon, eBay, Wayfair, etc. The focus was on intuitive navigation, fast product discovery, clear product information, frictionless checkout, and dedicated experiences for both buyers and sellers. Outcome Delivered a complete marketplace foundation designed to support multiple vendors, thousands of products, secure transactions, automated workflows, and scalable business operations.
0
36
Cover image for AI Agent Tutor Mobile App An
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
1
164
Cover image for Employee Productivity Monitoring System Built a
Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.
2
204
FastAPI(1)
Ajay Bidyarthy's avatar
Ajay Bidyarthy
Delhi, India
AI Solutions, Software Architect, AI Agents, Fractional CTO
14
Followers
AI Solutions, Software Architect, AI Agents, Fractional CTO
Cover image for A multi-tenant architecture is a
A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
2
128
Cover image for I develop and manage databases
I develop and manage databases using Elasticsearch, Neo4j, and Supabase to deliver fast search, powerful data relationships, and scalable backends. I design efficient data models, optimize performance, and ensure secure, reliable data access. I handle everything from setup and integration to deployment and ongoing optimization.
1
331
Cover image for I design and develop intelligent
I design and develop intelligent chatbots and AI-powered applications that deliver seamless, human-like user experiences. I focus on building scalable, secure, and customized AI solutions tailored to real business needs. From idea to deployment, I handle the full development lifecycle end-to-end.
1
228
Cover image for Ajay Bidyarthy is the Founder
Ajay Bidyarthy is the Founder and Chief Executive Officer of Blackcoffer and an AI Engineer with expertise in developing intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. He designs and builds AI-powered applications—ranging from conversational agents to data-driven automation—by leveraging modern frameworks and cutting-edge technologies.
3
420
FastAPI(4)
Rishabh Gupta's avatar
Rishabh Gupta
Delhi, India
Full-Stack Developer & UI/UX Designer | Mobile Apps
New to Contra
Full-Stack Developer & UI/UX Designer | Mobile Apps
Cover image for SEPMS: Smart Energy Portfolio Management System
SEPMS: Smart Energy Portfolio Management System
1
5
Cover image for TradeYourAmp: Power Trading Automation Platform
TradeYourAmp: Power Trading Automation Platform
0
3
Cover image for Transforming Lounge Chairs into Immersive Wellness Ecosystems
This project represents a fusion of high-end industrial design and user-centric digital interfaces. The goal was to transform the experience of a "Futuristic Lounge Chair" from a simple utility into an immersive wellness ecosystem. Below is the structured content and design approach used for this project. 1. Project Vision To create a seamless, cohesive digital experience that bridges the gap between luxury furniture and advanced medical-grade massage technology. The interface is designed to feel as "premium" as the chair itself, utilizing a "Glassmorphism" aesthetic that matches the futuristic pod-like hardware. 2. Design Approach: The "Glass-Wellness" Framework A. Visual Language (UI) Color Palette: Deep midnight blues and cyans provide a calming, "spa-at-night" atmosphere. High-contrast accent colors (lime green for active zones, amber for heat) provide clear functional feedback. Aesthetics: * Frosted Glass (Glassmorphism): Used for panels to create depth and a lightweight feel. 3D Anatomical Mapping: A high-fidelity human model provides immediate visual feedback on where the massage is currently focusing. Typography: Clean, sans-serif fonts (like Montserrat or Inter) for maximum legibility on tablet screens. B. User Experience (UX) & Interaction Zero-Gravity Navigation: Large, thumb-friendly hit targets were prioritized, recognizing that users are often reclined and less precise with their movements. Contextual Awareness: The interface changes based on the user’s state—moving from a "Discovery" mode (Product Benefits) to an "Active" mode (Live Session Management). 3. User Flow & Interaction Design Phase I: Discovery & Personalization Landing Interface: Displays the chair's technical specs (16H battery life, mental wellness benefits). Profile Selection: Users select or create a profile (e.g., "Anya - Stress Relief" or "Leo - Recovery"). This automatically adjusts the chair’s physical dimensions and pressure preferences. Phase II: Program Selection Dynamic Library: A scrollable list of specialized programs like "Lymphatic Drainage," "Deep Tissue," or "Yoga Stretch." Visual Preview: Selecting a program highlights the targeted body zones on the 3D model before the session starts. Phase III: Active Session Management Real-time Feedback (A): The 3D avatar pulses in the area being massaged (e.g., Anterior Right Thigh). Intensity Granularity (B): Side-panel sliders allow users to adjust "Roll Depth" and "Pinch Frequency" per zone without pausing the session. Status Indicators (D): Clear display of remaining time, current technique (Shiatsu), and a prominent "Emergency Stop/Pause" button (E). Phase IV: Advanced Environment Control Ambient Sync (F): A dedicated settings panel to control the "pod environment." Heat Mapping: Specific sliders for Upper Back and Leg heat. Chroma-Therapy: A color wheel to adjust the chair’s internal LED lighting. Audio Integration: Options for Nature Ambiance or custom Spotify playlists synced to the massage rhythm. 4. Technical Constraints & Solutions Hardware Limitation: To ensure the interface runs smoothly on standard chair tablets, heavy 3D renders are replaced with high-quality 2D sprite sheets or lightweight WebGL to maintain 60fps performance. Low-Light Optimization: The "Dark Mode" default prevents eye strain during evening use, which is when most users utilize massage chairs. Project Outcome The result is an interface that doesn't just "control" a chair, but manages an entire Wellness Environment, making the technology feel invisible and the relaxation feel absolute.
0
87
Cover image for Sharajman Technologies Website
Sharajman Technologies Website
3
1
163
FastAPI(2)
Vaibhav Kumar's avatar
Vaibhav Kumar
Delhi, India
Building AI, ML & data-driven solutions with Python.
New to Contra
Building AI, ML & data-driven solutions with Python.
Cover image for AI-Powered QMS for Complaint Management
AI-Powered QMS for Complaint Management
0
2
Cover image for AI vs Human Text Classification Using BERT
AI vs Human Text Classification Using BERT
0
1
Cover image for Bitcoin Market Sentiment and Trader Performance Analysis
Bitcoin Market Sentiment and Trader Performance Analysis
0
2
Cover image for Medical Insurance Cost Prediction
Medical Insurance Cost Prediction
0
2
FastAPI(1)
Vishakha Sanjay Yadav's avatar
Vishakha Sanjay Yadav
New Delhi, India
CSE student building ML pipelines & AI-powered products
New to Contra
CSE student building ML pipelines & AI-powered products
Cover image for What It Is SevaFlow is a
What It Is SevaFlow is a civic complaint management system that lets Indian citizens file government complaints through Telegram without downloading any app or creating an account. The complaint gets automatically understood, routed, and tracked using AI. How It Works End to End A citizen sends a plain text message to the Telegram bot describing their problem. That message gets sent to Google Gemini with a carefully designed prompt at temperature 0.1, meaning the AI outputs consistent, deterministic JSON every time. Gemini extracts the issue type, location, responsible department, priority level, and generates a summary, all returning a confidence score between 0 and 1. The routing engine then takes over. It applies priority override rules first, so words like "fire" or "emergency" always trigger urgent regardless of what the AI said. It maps the AI suggestion to a configured department, assigns an SLA deadline based on department and priority, and stores everything in SQLite. The citizen immediately receives a Telegram confirmation with their reference ID like SF1234, department name, priority, and expected response time. The Admin Side Government officials log into a dashboard at the FastAPI server. They can filter and sort complaints, view the full status history of each one showing who changed what and when, update the status with notes like "team dispatched", and trigger a Telegram notification back to the citizen automatically. What Makes It Technically Interesting The AI pipeline has a two layer fallback. If Gemini fails, keyword matching kicks in to identify the department. If that also fails, it routes to General Services with medium priority and confidence marked as 0.0 so admins know it needs manual review. Nothing gets lost. The department configuration is fully data driven. Adding a new government department requires zero code changes, just a new entry in config.py (http://config.py) with keywords, SLA hours, and contact email. The system picks it up on restart. The database tracks two separate tables: complaints with all AI output stored alongside the raw text, and status history with a complete changelog including timestamps and the identity of who made each change. Why It Won Most hackathon civic tech projects build a web form. SevaFlow used Telegram as the interface because that is where citizens already are, made the AI classification reliable enough to actually route correctly, and built the full government side too, not just the submission side. End to end in one system, deployable on a single lightweight server.
0
36
Cover image for Verath: AI-Powered Personal Memory System
Verath: AI-Powered Personal Memory System
0
5
Cover image for UniEvent - University Event Management Platform
UniEvent - University Event Management Platform
0
4
Cover image for ReGenX - Smart Circular Bio-Waste Logistics Platform
ReGenX - Smart Circular Bio-Waste Logistics Platform
0
3
FastAPI(2)